AI Applied Scientist
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.
What this role actually needs.
AI Applied Scientist at Figma in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- 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
What a strong candidate brings
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- Build evaluation systems to measure and improve quality of AI features in Figma products
Why people would want this job
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- 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
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Next moves
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- Use united states residents as part of your positioning so the recruiter does not have to infer it.
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