Applied Scientist (Integrity)

Figma

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to  improve Figma’s products. This is a full time role that can be held from one of our US hubs or remotely in the United States. WHAT YOU’LL DO AT FIGMA: * You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma’s domains * You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation * Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features * Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems * Build evaluation systems to measure and improve quality of AI features in Figma products WE'D LOVE TO HEAR FROM YOU IF YOU HAVE: * Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments * Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc * Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO. Experience with RL from execution feedback for Coding, and RL with non-verifiable rewards will be a plus * 4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision * Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R) * Experience communicating and working across functions to drive solutions WHILE NOT REQUIRED, IT’S AN ADDED PLUS IF YOU ALSO HAVE: * Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision * Experience in mentoring/influencing senior engineers across organizations * Expertise working on large scale and distributed AI training At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.     Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.  Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement.  Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future. Annual Base Salary Range: $153,000—$376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.  Examples of accommodations include but are not limited to:  * Holding interviews in an accessible location * Enabling closed captioning on video conferencing * Ensuring all written communication be compatible with screen readers * Changing the mode or format of interviews  To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.

Isomorphic Labs

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.  Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture. The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.    ABOUT ISO Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.   Research Scientist - Applied Large Language Models  YOUR IMPACT  As a Research Scientist focused on the application of Large Language Models (LLMs), you will play an exciting role in bringing cutting edge technologies to bear across our research areas to transform the drug discovery world as we know it.  Working in a highly creative, fast-paced and interdisciplinary environment, you will be partnering with leading research scientists and engineers to conceive, design, and develop cutting edge LLM applications that help to unlock new modelling capabilities and predictive power which will be critical to the organisation’s success. You will draw upon your existing deep understanding and experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. Depending on your experience: You will both partner with teams across our existing research areas and create and lead standalone projects, bringing together a variety of disciplined scientists and engineers to pursue some of the most ambitious modelling problems through the application of LLMs - as well as providing technical mentorship and people management for others in the ML community at Isomorphic Labs. You will be instrumental in leading machine learning based research projects, building the models, and algorithms that will power our platform to drive us close to achieving our ambitious mission to one day solve all disease with the help of AI. What you will do * Contribute to core research in machine learning by pushing the boundaries of Large Language Models in their application to the world of drug discovery * Develop and refine LLM-driven approaches for multiple use cases across our research areas, using your extensive knowledge of the field to modify and apply models and explore their capabilities when applied to complex biological and medical challenges. * Identify and create novel ML techniques and the required data to train and apply models * Analyse and tune experimental results to inform future experimental directions. * Implement and scale training and inference engineering frameworks * Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines * Iterate collaboratively with scientists and domain experts, sharing your own domain experience * Suggest and engage in team collaborations to meet ambitious research goals Depending on your experience: * Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise. * Provide developmental support to other ML research scientists. * Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems. Cultivate a diverse and inclusive research culture. SKILLS AND QUALIFICATIONS  Essential * PhD or equivalent practical experience in a technical field * Highly specialized LLM builder with a passion for, and strong experience in, applying LLMs to novel problem spaces * Deep understanding and experience of model architectures, training methods, and techniques for application of LLMs, including deployment for bespoke use cases and applications, established experience in post-training, reasoning, test-time scaling, tool-use, alignment, agents, LLM research, as well as reinforcement learning and fine-tuning  * Strong knowledge of linear algebra, calculus and statistics. * Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. * Depending on your experience: project supervision, leadership, or management. * Strong knowledge of LLM landscape today, and likely developments for the near future * Experience working with real-world datasets. Nice to have * PhD in machine learning or computer science. * Relevant research experience to the position such as post doctoral roles, a proven track record of publications, or contributions to machine learning codebases. * A strong background in biology or medicine, enabling you to bridge the gap between advanced AI capabilities and complex scientific problems in drug discovery * Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics), and with real world biological or chemical datasets and biological or chemistry software * Experience in computational chemistry, bioinformatics, or related fields would be highly beneficial, along with a track record of applying AI to real-world scientific challenges * Experience with multi-parameter optimization * Experience in any of: large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, real-world applied RL CULTURE AND VALUES We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.  Thoughtful Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day. Brave Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less. Determined Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we. Together Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere. CREATING AN EXTRAORDINARY COMPANY We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. HYBRID WORKING It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call. Please note that when you submit an application, your data will be processed in line with our privacy policy. >> Click to view other open roles at Isomorphic Labs

Trustpilot

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has genuine content from real people with real experiences. That means eliminating fake reviews and acting on signs of suspicious behavior to protect our platform from fraudulent activity. Our Trust Applied AI team’s mission is to use advanced modeling to safeguard the integrity of online reviews, and we have several cross-functional teams devoted to Trust where Applied AI is integral to achieving our goals.   We are looking for a Data Scientist to join our Trust team. You and your team will work to develop, deploy, and maintain innovative models at scale, alongside a cross-functional team of software developers, product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business with our Technology and Product teams. You will also work closely with stakeholders in Legal and Platform Integrity. To succeed in this role, you should have proven experience in developing and deploying ML models, ideally using graph data. You need a strong technical foundation and hands-on experience in all stages of data preparation, exploration, and modeling. An adaptable mindset and understanding of the interface between Applied AI and engineering are essential as you will be working in cross-disciplinary teams. Experience with deploying solutions into production is expected, as you will be responsible for implementing end-to-end solutions—from data preprocessing to serving predictions.   What you will do: * Be hands-on in delivering the Applied AI / Data Science component of key strategic projects in Trust, from building and fine-tuning language models to sequence modeling, graph-based models, etc. * Develop, maintain, and deploy production-ready ML models, with tooling support from ML engineers * Engage with both technical and non-technical stakeholders and contribute to the Trust roadmap * Seize the chance to meaningfully influence our business through the latest advancements in Applied AI and keep Trustpilot on the edge of innovation when it comes to fake review detection * The opportunity to work with market-standard data engineering and deployment technologies including Google Agent Platform tools and Google BigQuery, and with leading Data Science tools and emerging technologies for model building and deployment * Opportunities to develop your career in a friendly, diverse, international team and workplace   Who you are: * Experience with analytical and quantitative problem-solving using advanced statistical techniques and machine learning methods. Particularly relevant experience: high-precision classification focus, graph neural networks, graph algorithms used within machine learning, fine tuning of large language models, working with large label sets with varying label quality, and adversarial machine learning. * Experience in building and deploying production-ready ML models at scale, and solid data engineering skills, ideally in GCP * Ability in Python and SQL for data manipulation, modeling, and scripting * Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Knowledge of behavioral data, detecting misbehavior and/or fraud at scale is a big plus * Knowledge of data pipelining and prior experience with cloud-based ML model deployments * Great communication skills - both with technical colleagues and with business stakeholders  * 2-3 years or more of technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy   What’s in it for you: * A range of flexible working options to dedicate time to what matters to you * Competitive compensation package + bonus * 25 days holiday per year, with an extra 5 days holiday allocated after your 1 year anniversary (prorated)  * Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community * Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist * Comprehensive health package, pension, and full access to Headspace, a popular mindfulness app to promote positive mental health * Paid parental leave * Central office with  a laid-back vibe and constant buzz of different languages being spoken everywhere you go It’s complete with a coffee bar, canteen, and table tennis and has a wide variety of refreshments available - you can opt-in for breakfast and lunch at an affordable price * Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials * Opportunity to join the Trustpilot Social Club for a small monthly fee and attend regular social and leisure activities like go-karting, cooking classes, and escape rooms  * Employee discounts to restaurants and shops  Still not sure? We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences along with how you will contribute to our working culture. Even if you don’t feel you meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 350 million reviews and 60 million monthly active users across the globe, with 149 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 1000 employees and we’re headquartered in Copenhagen, with operations in  Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.  We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.  Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team (talent.acquisition@trustpilot.com) quoting the role you wish to apply for.