Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.
149k – 350k
Remote4+ YOEData Science
About the role
What you’ll do at Figma:
Drive fundamental and applied research in AI, exploring boundaries of current technology to build best-in-class models for Figma’s domains.
Combine industry best practices and first-principles to build cutting-edge Generative AI models using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements, and synthetic data generation.
Work with product and infrastructure engineers to improve Figma’s products through AI-powered features.
Collaborate with product managers and engineers to transform user feedback into AI system requirements.
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 building generative AI features through prompt engineering and fine-tuning models in production.
Experience with deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace.
Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) like GRPO/DAPO.
4+ years in Generative AI, and 6+ years in machine learning, natural language processing/understanding, or computer vision.
Strong software engineering skills with 5+ years in programming languages (Python, C++, Java, or R).
Experience communicating and working across functions to drive solutions.
Nice-to-haves:
Proven track record of planning multi-year roadmaps.
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