research
Posted Apr 15AI Applied Scientist
at Figma
San Francisco, United StatesOn-site
Responsibilities
- 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
Requirements
- 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.
- 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.
- 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
- 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