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’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is

critical for continued growth. The Conversion modeling Team plays a pivotal role in developing and maintaining machine learning

models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase,

signup, add to cart, and other lower funnel user actions.

As we expand our machine learning infrastructure and incorporate new engagement signals, we are looking for a skilled Engineering

Manager who can lead this critical team. This role is well-suited for a leader with deep machine learning expertise, strategic

vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders.

We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S.

TARGET SKILLS AND EXPERTISE

The Engineering Manager (EM) will be responsible for defining the team’s vision, setting strategic direction, and executing a

technical roadmap for conversion modeling at Reddit. This involves:

Model Architectures: Expertise in architecting and implementing deep learning models, with experience in ranking,

recommendation, or conversion modeling.

ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch).
End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade machine learning models.
Data Pipelines: Experience orchestrating large-scale data generation and processing pipelines.
Ads domain Experience: Experience in interaction of ranking model with rest of Ads systems like bidding, auction, retrieval etc
Ads Modeling (Preferred): Background in ads modeling or familiarity with engagement prediction models in the ads domain is

beneficial.

Role responsibilities:

The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS,

and engineering functions within Ads. Ideal candidates will have:

People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and

team growth.

Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives.

Define and execute a roadmap for conversion modeling, balancing innovative modeling approaches with business objectives.

Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML

performance and robustness.

Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth,

collaboration, and technical excellence.

Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement

strategies, data requirements, and model KPIs.

Innovate in ML Architecture: Implement and optimize model architectures tailored to conversion prediction, leveraging deep

learning and advanced ML techniques.

Required qualifications:

At least 2+ of experience building and managing high-performing machine learning teams, ideally in the Ads domain. Will

consider tech lead experience as well

Deep ML Expertise: Deep hands-on experience working with machine learning models and deploying them in large-scale production

systems. Proven ability in training, evaluating, and deploying large-scale models.

Technical Domain Knowledge: Experience with Ads conversion modeling, ranking (heavy ranker experience) & recommendations

experience is required.

Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company

objectives and addresses the needs of internal customers.

Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to

effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional

partners

Experience with Ads conversion modeling is a plus

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:

$230,000—$322,000 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.

Roll

Ads Conversion Modeling, Machine Learning Engineering Manager

Kategori

Data/IT

Plats

Remote - United States

Publicerad

2 juni

Sista ansökningsdag

17 augusti

Liknande jobb

Machine Learning Engineering Manager - Ads Engagement Modeling

Remote - United States•Publicerad: 14 juni•Sista ansökan: 17 aug.

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 overview: The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. This role offers a unique opportunity to shape and scale Reddit’s Ads prediction models, in alignment with our product goals and driving SoTA modeling advancement. This role is well-suited for a leader with deep machine learning expertise, strategic vision, and a collaborative mindset to engage with both technical and cross-functional stakeholders. We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S. Responsibilities: * Set Technical Vision and Strategy: Define and execute a roadmap for engagement modeling, balancing innovative modeling approaches with business objectives. * Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness. * Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence. * Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs. * Innovate in ML Architecture: Implement and optimize model architectures tailored to engagement prediction, leveraging deep learning and advanced ML techniques. Candidate Profile: The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will have: * People Management Experience: Prior experience managing engineering teams with a strong emphasis on technical mentorship and team growth. * Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy aligned with business objectives. Define and execute a roadmap for conversion modeling, balancing innovative modeling approaches with business objectives. * Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance and robustness. * Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a culture of growth, collaboration, and technical excellence. * Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams to align on engagement strategies, data requirements, and model KPIs. * Innovate in ML Architecture: Implement and optimize model architectures tailored to conversion prediction, leveraging deep learning and advanced ML techniques. Required qualifications: * At least 2+ of experience building and managing high-performing machine learning teams, ideally in the Ads domain. Will consider tech lead experience as well * Deep ML Expertise: Deep hands-on experience working with machine learning models and deploying them in large-scale production systems. Proven ability in training, evaluating, and deploying large-scale models. * End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models. * 4+ years of hands-on experience with TensorFlow or PyTorch. * Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy that supports broader company objectives and addresses the needs of internal customers. * Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value. * Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners * Experience with Ads or Engagement Modeling is a plus. 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: $230,000—$322,000 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.

Staff Machine Learning Engineer, Ads Measurement Modeling

Remote - United States•Publicerad: 14 maj•Sista ansökan: 17 aug.

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! The Ads Measurement Org is dedicated to enhancing the efficiency and user-friendliness of our advertising platform. The Measurement Modeling team owns all the Machine Learning solutions for Ads Measurement, including Identity Matching, Identity Graph, Utility Enhancement for Ads Privacy, Modeled Conversion, and new Measurement Modeling Initiative. As critical and complex part, in Identity Modeling, we are building new advanced machine learning solutions, the space resides in intersection of ads stack that interacts with various upstream and downstream systems, it serves critical business needs for monetization and consumer as well, including Measurement & Reporting, Experimentation, Personalization, Delivery, and Safety etc, requires major XFN as well as cross team/org collaborations. We are looking for an IC5 Staff ML Engineer of Ads Identity Modeling, to define long term direction and drive architecture evolution, be responsible for engineering quality and enforce best practice, lead new exploration and cross-org collaboration in new modeling initiatives, and champion ML/AI innovation to ensure the solutions utilize SOTA ML technology. Our diverse group of engineers, product managers, data scientists, and ads specialists is excited to welcome you on board! Minimum Qualifications: * 7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale * Demonstrated experience architecting and building ads measurement modeling solutions leveraging advanced machine learning techniques * Strong knowledge of various identifiers (cookies, hashed emails, phone numbers, IP addresses, user agents) and their use in identity resolution * Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference * Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink) * Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal) * Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for identity resolution Responsibilities: * Lead the technical strategy and architecture for our company’s ads identity modeling solutions and other related ads measurement models * Design and train advanced ML models while ensuring accuracy, scalability, and compliance with privacy requirements, managing trade-offs between complexity, latency, and prediction quality * Oversee end-to-end ML workflows—from data ingestion and feature engineering to model training, evaluation, and deployment—optimizing for performance and cost * Partner with cross-functional teams (e.g., product management, data science, platform engineering, privacy, legal) to define the roadmap and set long-term goals * Establish engineering best practices, code quality standards, and data governance guidelines to ensure maintainability and trustworthiness of the identity graph * Mentor and coach junior engineers, fostering a culture of innovation, technical excellence, and knowledge sharing across the organization 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-AK1 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: $230,000—$322,000 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.

Staff Data Scientist, Ads

Remote - United States•Publicerad: 10 juli•Sista ansökan: 17 aug.

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 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: * 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.

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