Search results for "Sensory Research"

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.  Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of "relevance" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation. Responsibilities * Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment * Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction * Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply * Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness * Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact * Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership * Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor * Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community Required Qualifications * Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise * For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles * For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles * Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation * Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts * Experience defining and validating quality metrics for content ranking, search, or recommendations at scale * Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments * Expert knowledge of SQL and proficiency in R and/or Python for statistical computing * Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience * Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders * Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation * Comfortable in innovative and fast-paced environments with a bias toward action Preferred Qualifications * Published research or industry contributions in areas recommendation systems or causal inference for ranking * Experience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges   Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave     #LI-REMOTE Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500—$325,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.  Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's relevance challenges are uniquely complex. Our platform is a deeply interconnected network of communities, contributors, and consumers - where the notion of "relevance" spans personalized content ranking, community discovery, and search across an enormous corpus of authentic, user-generated content. We need a senior technical leader who thrives on these hard problems and can raise the bar for how we measure, evaluate, and improve the quality of recommendations and search results across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on relevance measurement and evaluation, partnering closely with Feeds and Search ML teams to tackle the most complex ranking, recommendation, and retrieval challenges across Consumer. You will shape how Reddit understands content quality, define the metrics and analytical frameworks that guide relevance improvements, and influence product strategy through rigorous analysis and experimentation. Responsibilities * Serve as the technical authority on relevance metrics and evaluation methodology across Consumer, setting standards for how we measure the quality of feeds, search results, and recommendations in a complex, community-driven environment * Develop metrics frameworks and offline evaluation approaches for ranking and recommendation systems, including proxy metrics that reliably predict long-term outcomes like retention, community health, and user satisfaction * Design and analyze experiments for relevance features, accounting for challenges unique to networked platforms such as spillover effects between communities, interference between contributors and consumers, and long-run impacts of ranking changes on content supply * Identify opportunities where improved measurement and analysis can unlock product insights that were previously unmeasurable or ambiguous, particularly around content quality, search intent understanding, and personalization effectiveness * Partner deeply with ML engineers and product teams to translate model performance metrics into user-facing impact * Influence the long-term product strategy for Feeds and Search by synthesizing insights from experimentation, observational analysis, and metric deep-dives into clear, actionable recommendations for senior leadership * Mentor and elevate other data scientists across the organization on relevance evaluation, experimentation best practices for ranking systems, causal reasoning, and statistical rigor * Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader relevance, recommendation systems, and experimentation community Required Qualifications * Ph.D. in Statistics, Computer Science, Information Retrieval, Economics, or a related quantitative field with a strong focus on recommendation systems, ranking, causal inference, or evaluation methodology; or M.S. with equivalent depth of expertise * For M.S. holders: 12+ years of industry experience in applied science, data science, or relevance/ranking-focused roles * For Ph.D. holders: 8+ years of industry experience in applied science, data science, or relevance/ranking-focused roles * Deep expertise in metrics design and evaluation for ranking and recommendation systems, including offline metrics and counterfactual evaluation * Strong understanding of causal inference and experimentation methodology, including practical experience with challenges relevant to ranking systems such as novelty effects, position bias, long-run effect estimation, and ecosystem-level impacts * Experience defining and validating quality metrics for content ranking, search, or recommendations at scale * Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, and sequential testing as applied to relevance experiments * Expert knowledge of SQL and proficiency in R and/or Python for statistical computing * Demonstrated ability to influence product and organizational strategy through data-driven insights about content quality and user experience * Excellent communication skills with the ability to explain nuanced statistical and ML concepts and tradeoffs to both technical and non-technical senior stakeholders * Experience mentoring data scientists and building organizational capability in relevance evaluation and experimentation * Comfortable in innovative and fast-paced environments with a bias toward action Preferred Qualifications * Published research or industry contributions in areas recommendation systems or causal inference for ranking * Experience with social network or user-generated content platforms where community-level dynamics create non-trivial relevance and experimentation challenges   Benefits: * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Comprehensive Medical Benefits & Health Care Spending Account * Registered Retirement Savings Plan with matching contributions * Income Replacement Programs * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave   #LI-REMOTE   In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. We're looking for a sharp, positive, and motivated self-starter to join our Mid Market B2B Services Acquisitions team in San Francisco! In addition to laying the foundation of the team, the Client Partner will be responsible for prospecting and establishing net new partnerships with key brands and ensuring they meet their business objectives using Reddit's advertising suite. Please note that this role is required to work in-person from our SF office 1-2 days per week. Core Responsibilities: * Prospect into and collaborate with prospective customers to deliver Reddit solutions that help achieve those customers’ marketing and business goals * Establish new relationships, acquire new clients (both direct and agency-driven), and bring them onto the platform in a way that sets them up for long-term success * Identify areas of additional opportunity within existing client relationships, including new lines of business, and move them through to close * Collaborate with Account Managers to create long-term, mutually beneficial partnerships between your customer base and Reddit * Act as the CEO of your book of business, and take full ownership of strategic bets, revenue forecasting, and ensuring operational rigor * Communicate feedback on our sales processes, narratives, and products to advocate for customers and improve the team's effectiveness and efficiency Qualifications:  * 4-7 years of experience in digital media with at least 1-3 years of experience in sales * High familiarity with sales tools for research, prospecting, prioritization, and client outreach at scale * A hunger for identifying, prospecting, and closing new business  * Ability to manage a book of business greater than 30 accounts * Subject matter expertise in the social media landscape and native advertising * Positive outlook, team player * Demonstrated high achievement against sales targets * Motivated self-starter who thrives in unstructured environments * BA / BS degree or equivalent work experience Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave  #LI-Hybrid   Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and will also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $102,400—$143,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

ADECCO SWEDEN AKTIEBOLAG

Are you genuinely interested in tobacco and nicotine products and curious about how consumers experience flavours and sensory attributes? Do you enjoy working with people and want to be part of an international company where sensory science drives product development? Then this could be the opportunity for you. We are looking for a Sensory Panel Leader to join a leading multinational company in Malmö. In this hands-on role, you will bring sensory science to life by leading the daily execution of sensory panels evaluating nicotine and tobacco pouches, including well-known brands such as VELO and Lundgrens. You will work onsite in Malmö while collaborating with a global sensory team and international network. This is a full-time consultancy assignment through Adecco for an initial six-month period, with the possibility of permanent employment. Your Responsibilities As a Sensory Panel Leader, you will play a key role in ensuring the successful execution of sensory studies. Your responsibilities include: Managing the daily operations of multiple sensory panels. Preparing samples and maintaining an organized sensory laboratory. Recruiting, training, and supporting 50+ sensory panellists. Leading panel sessions and creating an engaging and professional environment. Supporting Sensory Scientists with questionnaire programming, panel performance, data collection, analysis, and reporting. Contributing to new sensory methods, product development, and continuous improvements. Who Are You? Success in this role is driven as much by your personality as your experience. We are looking for someone who is mature, confident, and enjoys taking ownership. You build trust easily, communicate professionally, and feel comfortable leading training sessions and moderating groups of up to 20 participants. Most importantly, you have a genuine interest in tobacco and nicotine products and a curiosity for how flavours and sensations translate into human perception. You are structured, detail-oriented, adaptable, and thrive in a collaborative, fast-paced environment. Qualifications We welcome candidates from a variety of educational and professional backgrounds. Rather than having a specific degree, we are looking for someone with the right mindset, strong interpersonal skills, and a genuine interest in tobacco and nicotine products. A degree in Food Science, Consumer Science, Behavioural Science, Chemistry, Biology, Market Research, or another relevant field is considered an advantage, as is experience within sensory science, laboratory work, quality, research, product evaluation, or consumer insights. Experience with statistical analysis, sensory software, and Microsoft Office (Excel, Outlook, PowerPoint, and Copilot) is beneficial. Fluency in English, both written and spoken, is required. Practical Information Full-time position based onsite in Malmö, Monday to Friday. Working hours are 9:30 AM–5:30 PM when sensory panels are running and 9:00 AM–5:00 PM otherwise. A valid driver´s licence and access to a car are beneficial. If you are looking for a role where you can combine people, science, and product development and have a genuine interest in tobacco and nicotine products, we would love to hear from you. Contact details Background checks as well as drug and alcohol tests will be conducted as part of the recruitment process. If you have any questions about the position or the recruitment process, you are welcome to contact the responsible recruiter: Artemis Nikpour via artemis.nikpour@adecco.se If you have any questions regarding registration, please contact support via info@adecco.se We look forward to receiving your application!

ADECCO SWEDEN AKTIEBOLAG

Har du ett genuint intresse för tobaks- och nikotinprodukter och är nyfiken på hur konsumenter upplever smak och sensoriska egenskaper? Trivs du med att arbeta nära människor och vill vara en del av ett internationellt företag där sensorisk forskning bidrar till produktutveckling? Då kan detta vara rollen för dig. Vi söker nu en Sensory Panel Leader till ett ledande internationellt företag i Malmö. I denna praktiska och varierande roll ansvarar du för den dagliga driften av sensoriska paneler som utvärderar nikotin- och tobaksportioner, inklusive välkända varumärken som VELO och Lundgrens. Du arbetar på plats i Malmö och blir samtidigt en del av ett globalt sensory-team med ett brett internationellt nätverk. Tjänsten är ett heltidsuppdrag som konsult via Adecco under 6 månader, med möjlighet till en tillsvidareanställning hos kund. Dina arbetsuppgifter Som Sensory Panel Leader har du en central roll i att säkerställa att sensoriska studier genomförs med hög kvalitet. Dina huvudsakliga arbetsuppgifter är att: Ansvara för den dagliga driften av flera sensoriska paneler. Förbereda produktprover och säkerställa att det sensoriska laboratoriet är välorganiserat. Rekrytera, utbilda och stötta över 50 sensoriska paneldeltagare. Leda panelsessioner och skapa en professionell och engagerande miljö för deltagarna. Stötta Sensory Scientists med programmering av frågeformulär, uppföljning av panelernas prestation, datainsamling, analys och rapportering. Bidra till utvecklingen av nya sensoriska metoder, produktutveckling och kontinuerliga förbättringar. Vem är du? För att lyckas i rollen är dina personliga egenskaper minst lika viktiga som din erfarenhet. Vi söker dig som är trygg, mogen och trivs med att ta ansvar. Du har lätt för att skapa förtroende, kommunicerar professionellt och känner dig bekväm med att hålla utbildningar och leda grupper med upp till 20 deltagare. Framför allt har du ett genuint intresse för tobaks- och nikotinprodukter och en nyfikenhet kring hur smaker och sensoriska upplevelser uppfattas av människor. Du arbetar strukturerat och noggrant, är flexibel och trivs i en samarbetsinriktad miljö med högt tempo. Kvalifikationer Vi välkomnar kandidater med olika utbildnings- och yrkesbakgrunder. Det viktigaste för oss är inte en specifik examen, utan att du har rätt inställning, god samarbetsförmåga och ett genuint intresse för tobaks- och nikotinprodukter. Det är meriterande om du har en eftergymnasial utbildning inom exempelvis livsmedelsvetenskap, konsumentvetenskap, beteendevetenskap, kemi, biologi, marknadsundersökningar eller annat relevant område. Erfarenhet av sensorik, laboratorieverksamhet, kvalitetsarbete, forskning, produktutvärdering eller konsumentinsikter är också meriterande. Har du dessutom erfarenhet av statistisk analys, sensorisk programvara eller Microsoft Office-paketet (Excel, Outlook, PowerPoint och Copilot) är det ett plus. Mycket goda kunskaper i engelska, både i tal och skrift, är ett krav. Praktisk information Heltid med placering på kundens kontor i Malmö, måndag till fredag. Arbetstiderna är kl. 09.30–17.30 när panelerna pågår och kl. 09.00–17.00 övriga dagar. B-körkort och tillgång till bil är en fördel. Kontakt Bakgrundskontroll samt drog- och alkoholtest genomförs som en del av rekryteringsprocessen. Har du frågor om tjänsten eller rekryteringsprocessen är du välkommen att kontakta ansvarig rekryterare: Artemis Nikpour via artemis.nikpour@adecco.se Har du frågor kring registreringen av din ansökan är du välkommen att kontakta vår support på info@adecco.se Varmt välkommen med din ansökan!

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business. About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.  We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the Role: We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit. Responsibilities: * Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform * Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform * Collaborate with product managers and engineers to define product requirements and translate them into data science solutions * Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition  * Communicate findings and recommendations to stakeholders across the organization * Stay up-to-date on the latest advancements in machine learning and data science * Mentor and guide junior data scientists on the team Qualifications: * Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research * For M.S. holders: 5+ years of industry experience in applied science or data science roles * For Ph.D. holders: 4+ years of industry experience in applied science or data science roles * Platform experience and a deep understanding of the ads ecosystem * Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design * Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus * Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch * Experience with SQL and relational databases * Excellent communication and presentation skills * Passion for Reddit and the online advertising industry Bonus Points: * Experience with online advertising and ad tech * Experience with causal inference and A/B testing * Contributions to open-source projects or publications in relevant conferences or journals Benefits: * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Comprehensive Medical Benefits & Health Care Spending Account * Registered Retirement Savings Plan with matching contributions * Income Replacement Programs * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave   #LI-Remote In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth.  As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research.  This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest.  Responsibilities: * Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations * Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests * Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly * Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact * Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes * Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications:  * Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research * For M.S. holders: 5+ years of industry experience in applied science or data science roles * For Ph.D. holders: 4+ years of industry experience in applied science or data science roles * Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python) * Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques * Comfortable in innovative and fast-paced environments, and a bias toward action * Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike * Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave     #LI-Remote #LI-NH1  Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800—$267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.  Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis. Responsibilities: * Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment * Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation * Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches * Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates * Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous * Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams * Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership * Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor * Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community Required Qualifications: * Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise * For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles * For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles * Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods * Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections * Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform) * Expert knowledge of SQL and proficiency in R and/or Python for statistical computing * Track record of designing and analyzing experiments at scale in complex or networked environments * Demonstrated ability to influence product and organizational strategy through experimentation insights * Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way * Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders * Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning * Comfortable in innovative and fast-paced environments with a bias toward action Preferred Qualifications: * Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference * Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs * Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges   Benefits: * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Comprehensive Medical Benefits & Health Care Spending Account * Registered Retirement Savings Plan with matching contributions * Income Replacement Programs * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave   #LI-REMOTE   In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.  Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. Reddit's experimentation landscape presents uniquely challenging problems. Our platform is a deeply interconnected network of communities, contributors, and consumers – meaning that standard A/B testing assumptions often break down. We need a senior technical leader who thrives on these hard problems and can raise the bar for causal inference and experimentation rigor across the entire Consumer organization. As a Senior Staff Data Scientist on the Consumer team, you will be the go-to expert on experimentation methodology, owning the most complex and high-stakes experimentation challenges across Consumer. You will shape how Reddit learns from its experiments, ensure we draw valid causal conclusions in the presence of network effects and interference, and influence product strategy through rigorous experimental design and analysis. Responsibilities: * Serve as the technical authority on experimentation methodology across Consumer, setting standards for design, analysis, and interpretation of experiments in a complex, networked environment * Tackle the hardest experimentation problems at Reddit, including spillover and network effects, interference between treatment and control, two-sided experimentation, and long-run effect estimation * Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control approaches * Design experimentation frameworks and guardrail metrics that account for ecosystem-level effects, ensuring product teams can measure true causal impact rather than biased local estimates * Identify opportunities where improved experimentation methodology can unlock product insights that were previously unmeasurable or ambiguous * Build and scale self-serve experimentation tools, platforms, and best-practice documentation that increase experimentation velocity and literacy across product, engineering, and design teams * Influence the long-term product strategy by driving learning through well-designed experiments and translating experimental results into clear, actionable recommendations for senior leadership * Mentor and elevate other data scientists across the organization on experimentation best practices, causal reasoning, and statistical rigor * Publish and share methodological advances internally and, where appropriate, externally to contribute to the broader experimentation and causal inference community Required Qualifications: * Ph.D. in Statistics, Econometrics, Economics, Computer Science, or a related quantitative field with a strong focus on causal inference or experimentation methodology; or M.S. with equivalent depth of expertise * For M.S. holders: 12+ years of industry experience in applied science, data science, or experimentation-focused roles * For Ph.D. holders: 8+ years of industry experience in applied science, data science, or experimentation-focused roles * Deep expertise in causal inference, including practical experience with challenges such as network interference / spillovers, two-sided experimentation, switchback designs, cluster randomization, and/or synthetic control methods * Strong theoretical grounding in experimental design, including power analysis, variance reduction techniques, sequential testing, and multiple comparison corrections * Experience with experimentation platforms at scale (e.g., building or significantly extending an internal experimentation platform) * Expert knowledge of SQL and proficiency in R and/or Python for statistical computing * Track record of designing and analyzing experiments at scale in complex or networked environments * Demonstrated ability to influence product and organizational strategy through experimentation insights * Demonstrated ability to take ambiguous, technically complex problems and solve them in a structured, hypothesis-driven way * Excellent communication skills with the ability to explain nuanced statistical concepts and tradeoffs to both technical and non-technical senior stakeholders * Experience mentoring data scientists and building organizational capability in experimentation and causal reasoning * Comfortable in innovative and fast-paced environments with a bias toward action Preferred Qualifications: * Published research or industry contributions in areas such as interference in experiments, network experimentation, or marketplace causal inference * Familiarity with Bayesian experimental methods, bandit algorithms, or adaptive experimental designs * Experience with social network or user-generated content platforms where community-level dynamics create non-trivial experimentation challenges   Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave     #LI-REMOTE   Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500—$325,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be. Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business. About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.  We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the Role: Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: * Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. * Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. * Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. * Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. * Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement. Qualifications: * Required: * Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research * For M.S. holders: 10+ years of industry experience in applied science or data science roles * For Ph.D. holders: 6+ years of industry experience in applied science or data science roles * Deep understanding of the ads ecosystem * Demonstrated expertise in at least one of the following areas: * Measurement & Experimentation at Scale (with focus on lift and attribution) * Identity Graph Creation & Resolution Methodology and Infrastructure * Predictive Modeling with Signal Loss * Advanced proficiency in statistical programming (Python or R) and SQL * Experience with machine learning or optimization techniques * Strong understanding of experimental design, causal inference, or A/B testing methodologies * Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners * Experience working in fast-paced, ambiguous environments with cross-functional teams Benefits: * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Comprehensive Medical Benefits & Health Care Spending Account * Registered Retirement Savings Plan with matching contributions * Income Replacement Programs * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave   #LI-Remote In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.  Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: * Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention  * Influence strategic roadmaps through data-driven insights into user behaviors and needs * Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis * Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions * Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization * Work cross functionally with product, engineering, and design teams to ensure insights make it to the product * Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: * Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research * For M.S. holders: 10+ years of industry experience in applied science or data science roles * For Ph.D. holders: 6+ years of industry experience in applied science or data science roles * Expert knowledge of SQL and relational databases * Familiarity with statistical analysis and the preferred programming languages of the team (R / Python) * Demonstrated ability to influence and guide product strategy with data * Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way * Familiarity with causal inference techniques and causal models * Excellent communication and experience working with senior leaders / stakeholders  * Entrepreneurial, self-directed, and enthusiastic about solving problems * Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit * Conform in innovative and fast-paced environments, and have a bias toward action. * Can discuss complex topics with technical and non-technical audiences Benefits: * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Comprehensive Medical Benefits & Health Care Spending Account * Registered Retirement Savings Plan with matching contributions * Income Replacement Programs * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave   #LI-REMOTE   In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Location: US remote-friendly or any office location - SF, LA, CHI, NY Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet.  Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: * Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention  * Influence strategic roadmaps through data-driven insights into user behaviors and needs * Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis * Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions * Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization * Work cross functionally with product, engineering, and design teams to ensure insights make it to the product * Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: * Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research * For M.S. holders: 10+ years of industry experience in applied science or data science roles * For Ph.D. holders: 6+ years of industry experience in applied science or data science roles * Expert knowledge of SQL and relational databases * Familiarity with statistical analysis and the preferred programming languages of the team (R / Python) * Demonstrated ability to influence and guide product strategy with data * Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way * Familiarity with causal inference techniques and causal models * Excellent communication and experience working with senior leaders / stakeholders  * Entrepreneurial, self-directed, and enthusiastic about solving problems * Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit * Conform in innovative and fast-paced environments, and have a bias toward action. * Can discuss complex topics with technical and non-technical audiences Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave     #LI-REMOTE   Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000—$303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Reddit has a flexible workforce!  If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Ads Content Understanding (ACU) owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for: * The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources). * Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics. * Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations. * Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs. * Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams.  We are looking for a Senior Machine Learning Engineer (IC4) who will act as a key contributor to the Content Understanding roadmap for the Monetization org. This is not a research scientist or pure DS role; success is defined by robust, shipped systems and monetization impact.  The ideal candidate is a pragmatic engineer with strong software engineering fundamentals and solid ML intuition—not a pure research scientist. This is an Applied MLE role, requiring someone who can evaluate when to leverage hosted LLMs versus custom models, help scale content understanding to new modalities (e.g., video), and drive practical ML solutions that deliver business impact.  Responsibilities: * Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable ML pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production. * Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, design reviews, setting technical standards, and uplifting the team’s modeling and systems craft. * Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices.  * Drive operational excellence for ACU’s ML systems by defining SLOs, alerting, and dashboards for key signals (coverage, latency, precision/recall, cost) * Build and evolve content understanding capabilities for commercial conversations (e.g., reviews vs. recommendations vs. comparisons vs. Q&A; sentiment and stance; product entities and categories) and operationalize them as robust signals that power contextual and shopping ads, auto-targeting, new formats, and insights products. * Drive LLM and modern ML best practices within ACU: define when to prompt, finetune, or distill; design evaluation and safety harnesses; and lead at least one major distillation effort to replace external APIs with in-house models. Required Qualifications: * 5+ years of relevant MLE experience delivering production ML systems (models + pipelines + serving) at scale, ideally in large-scale content understanding domains, or Ads.  * Demonstrated Senior-level technical leadership: has contributed to architecture decisions, standards, and design reviews in their immediate team * Strong communication skills, with the ability to explain complex technical trade-offs to PMs, DSs, and other engineering teams, especially in ambiguous, cross-team problem spaces like Seekers/Searchers monetization.  * Some experience building and shipping NLP / Language models / content understanding models to production (e.g., classifiers, encoders, sequence or session models), with clear business outcomes (e.g., CTR/ROAS uplift, safety improvements). Experience with commercial or intent modeling is a strong plus. Preferred Qualifications: * Practical experience using LLMs in production for labeling, evaluation, or distillation (e.g., LM-as-judge, prompt-based classifiers, LLM-generated labels distilled into smaller models), including managing quality, cost, and latency trade-offs. * Significant experience with PyTorch, TensorFlow, or similar, and production-quality code in Python (and ideally one statically typed language like Go/Java/C++). Comfortable owning training, evaluation, and deployment code end-to-end. * Experience designing ML systems and pipelines: offline training, feature pipelines (batch/streaming), online serving, monitoring, and experimentation for high-traffic surfaces. Benefits: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave  Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700—$303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. TEAM DESCRIPTION This role sits in the Ads Optimization organizations, which are responsible for the health and performance of Reddit’s ads marketplace. We focus on: * Designing the auction and bidding mechanisms that decide which ads show to which users and at what price. * Building optimization systems that help advertisers achieve their goals (e.g., conversions, ROAS) under budget and delivery constraints. * Ensuring marketplace quality by improving user experience with ads, fighting ad blindness, and increasing valuable ad opportunities on the platform. You’ll join a set of tight-knit engineers working on high-impact, internet-scale problems at the core of Reddit’s revenue engine, collaborating closely with Product, Data Science, and Infra partners across Reddit Ads. ROLE DESCRIPTION We are hiring Machine Learning Engineers (IC4) to build and evolve the auction, bidding and budgeting systems that power Reddit Ads. In this role, you will: * Design and implement optimization algorithms for auctions, bidding strategies, and pacing that balance advertiser performance, user experience, and marketplace efficiency. * Own systems end-to-end: from problem formulation and algorithm design to experimentation, production deployment, and ongoing iteration. * Work across Ads Optimization (bid strategies, budget optimization, pacing) to deliver measurable wins for advertisers and Redditors. We are hiring a Senior (IC4)  level: * IC4 MLEs lead more complex or multi-quarter initiatives, set technical direction for key parts of the bidding/auction/pacing stack, and mentor other engineers while remaining hands-on. RESPONSIBILITIES AUCTION, BIDDING, AND PACING SYSTEMS * Design and implement models and policies that: * Compute bids for different optimization objectives (e.g., CPC, CPA, ROAS-based strategies). * Pace budgets smoothly over time across accounts, campaigns, and ad groups while preventing overspend or underspend. * Allocate spend and auction participation intelligently across segments, surfaces, and time zones. * Translate product and marketplace goals into concrete optimization problems and constraints (e.g., ROI, revenue, delivery smoothness, fairness, and user experience). REQUIRED QUALIFICATIONS (Level will be determined during the interview process; IC4 expectations assume deeper experience and broader scope.) * 3–5+ years of experience building, deploying, and operating machine learning systems in production (for IC4, typically 5+ years). * Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals. * Experience designing scalable data processing systems (e.g., Spark, Kafka, Airflow, BigQuery, Redis). * Demonstrated ability to translate ambiguous product or business problems into solutions and to improve measurable metrics.   Additional expectations for strong bidding/auction candidates: * Evidence of stronger math and optimization skills than a generic MLE, such as: * Degree or equivalent background in a quantitative field (math, physics, quantitative finance, economics, operations research, or similar). * Work experience in optimization-heavy domains (e.g., bidding/auctions, pacing, pricing, logistics optimization, quantitative finance). * Comfort reasoning about and implementing custom optimization logic (e.g., gradient-based methods, constraint handling), not just applying black-box tooling. PREFERRED QUALIFICATIONS * Experience with advertising/auction systems, online marketplaces, or search/ranking systems at scale, particularly in: * Bidding, pacing, or budget optimization * Auction design, mechanism design, or marketplace quality * Campaign performance optimization (e.g., CTR/CVR, CPA, ROAS) * Familiarity with large-scale, real-time decision systems and low-latency production environments. * Background in feature engineering, model optimization, and production monitoring for ML systems. * Experience collaborating with cross-functional partners (Product, DS, Eng) in Ads or marketplace contexts and leading projects from design through rollout. * Advanced degree (MS or PhD) in Computer Science, Machine Learning, Operations Research, Applied Math, or a related quantitative field. POTENTIAL TEAMS * Ads Optimization (bid strategies, conversion/ROAS optimization, pacing and budget allocation) BENEFITS: * Comprehensive Healthcare Benefits and Income Replacement Programs * 401k with Employer Match * Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support * Family Planning Support * Gender-Affirming Care * Mental Health & Coaching Benefits * Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave  Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700—$303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Staff Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities * Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve. * Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever. * Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure. * Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity. * Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform. * Distill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org. Minimum Qualifications: * At least 7+ years of product management experience, with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking. * Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring). * Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities. * Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps. * Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams. Preferred Qualifications: * Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management. * Understanding of the Ad Tech ecosystem (bidding, ranking, targeting). * Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG). Perks and Benefits: * 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) * Competitive salary and equity options * Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc) * Generous 401k matching * Flexible vacation policy  * Paid parental leave (4+ months) * Family planning support * Paid volunteer time off #LI-AS1     Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000—$303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Neko Health AB

Role Purpose: Neko is building toward a multimodal model that predicts disease and health trajectories beyond what human doctors can do today, grounded in proprietary sensor and medical label data no one else has. This role sits inside the Innovation group and turns that ambition into a concrete data and metrics foundation: deciding where Neko's labelling effort goes next, and defining the org-level metrics that connect real medical outcomes to AI progress, a genuinely frontier problem, not an incremental one. What You'll Deliver in the First 6 -12 months: Set the research agenda for Neko's AI across its three horizons: narrow diagnostic models, context synthesis, and the eventual multimodal health model. Determine where Neko builds proprietary models and where it uses and adapts frontier models from external labs. Stay at the frontier of health AI research and bring that knowledge into the organisation continuously. Work closely with the CEO, Medical Innovation and Data Science teams to ensure the research roadmap connects to what ships. Represent Neko in the scientific community, through publications, conference presence, and relationships with leading research groups. Act as a talent magnet: the presence that makes world-class researchers want to join Neko. Build and maintain relationships with the best AI and health AI researchers globally, in academia and industry. Create an environment where rigorous science and production deployment coexist. Partner with the hardware and programme management teams to ensure the right data is being captured, labelled, and structured from the point of collection Help the organisation understand how to work with proprietary sensor data, medical labels at scale, and emerging diagnostic science that does not yet exist in public datasets. Partner with clinical and medical teams to ensure scientific work is grounded in real health outcomes. Minimum Qualifications: Deep, demonstrated ML expertise in applied health AI, evidenced by publications, adopted systems, or both. Hands-on track record with messy, high-dimensional real-world data, not only benchmark results. Demonstrated judgement making dataset-level calls: when proprietary labelling is worth the investment versus when open data is good enough. Academic relationships strong enough to attract named collaborators and candidates to Neko. Track record operating as a senior contributor without final decision authority, comfortable at the table rather than leading it. High agency, with a bias to contribute momentum in a fast-moving environment. Skilled to represent Neko externally with the scientific community, regulators, or partners. Preferred Qualifications: Appetite and early aptitude for people leadership; this role has a path to building a small team as impact proves out.