AI Applied Scientist

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.

What you'll do at Figma:

• Drive fundamental and applied research in AI.
• Explore the boundaries of what is possible with the current technology set to build best in class models for Figma's domains.
• Combine 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.
• 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.