AI Applied Scientist (AI): Driving fundamental and applied research in AI to build cutting-edge Generative AI models and improve Figma's products with an accent on exploring boundaries of current technology, combining industry best practices with first-principles approach, and integrating AI-powered features. Focus on building best-in-class models, leveraging advanced RL techniques, and transforming user feedback into robust AI systems.
Location: Remote in the United States or onsite at Figma hubs in San Francisco, CA or New York, NY
Annual base salary: $153,000–$376,000 USD
Company
Figma builds a collaborative design platform that helps teams brainstorm, prototype, translate designs into code, and develop products with AI.
What you will do
Drive fundamental and applied AI research and explore new model capabilities for Figma's domains.
Build generative AI models using supervised fine-tuning, reinforcement learning, prompt improvements, and synthetic data generation.
Design and build AI/ML models and systems that improve Figma products and AI-powered features.
Collaborate with product managers, product engineers, and infrastructure engineers to turn user feedback into AI system requirements.
Build evaluation systems to measure and improve the quality of AI features.
Requirements
Extensive experience building generative AI features through prompt engineering and production model fine-tuning.
Experience with deep learning and generative AI frameworks such as PyTorch, JAX, or HuggingFace.
Experience training large language models with reinforcement learning techniques including DPO, PPO, RLVR, GRPO, or DAPO.
4+ years of generative AI experience and 6+ years in machine learning, natural language processing, or computer vision.
5+ years of programming experience with Python, C++, Java, or R, plus strong software engineering skills.
Experience communicating and working across functions to drive solutions.
Nice to have
Experience planning multi-year roadmaps that connect short-term projects to a long-term vision.
Experience mentoring or influencing senior engineers across organizations.
Expertise in large-scale and distributed AI training.
Experience with reinforcement learning from execution feedback for coding or non-verifiable rewards.
Culture & Benefits
Equity and a competitive benefits package.
Health, dental, and vision coverage, retirement benefits with company contributions, and paid time off.
Parental leave, reproductive and family planning support, and mental health and wellness benefits.
Paid sick leave, holidays, flexible PTO for eligible exempt employees, and possible recharge days.
Home internet and cell phone reimbursements and lifestyle spending accounts may be available.
Hiring process
Interview evaluation considers qualifications, skills, relevant experience, potential impact, and role scope.
Video interviews require candidates to keep their cameras on.
Successful candidates must attend in-person onboarding.
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