Figma Greenhouse Board Figma Greenhouse Board onsite full_time

AI Applied Scientist

location_on San Francisco · Posted Jul 22, 2026
Salary Range
Market Benchmark
per year (USD)
Verification Score
verified_user 100% Audited
Direct ATS feed sync
Hiring Company Verified Engineering Hub
Original Source
Figma Greenhouse Board
No middleman fees
troubleshoot

Skill Compatibility Diagnostics

Live technical match evaluated against role architecture & expected skills.

Zero Data Stored
33% Potential Stretch

Consider reviewing the missing technical prerequisites before submitting your application.

Matched Core Skills
check Python
Complementary Prerequisites
Go Java

Your skills are processed strictly in-memory and never saved to a database.

About the Role

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. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!

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, combining industry best practices and a first-principles approach to design and build AI/ML models and systems that improve Figma’s products.

This is a full-time role that can be held from one of our US hubs or remotely in the United States.

task_alt

Key Technical Responsibilities

  • check_circle Drive fundamental and applied research in AI, exploring the boundaries of what is possible with the current technology set to build best-in-class models for Figma’s domains
  • check_circle 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
  • check_circle Work in concert with product and infrastructure engineers to improve Figma’s products through AI-powered features
  • check_circle Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems
  • check_circle Build evaluation systems to measure and improve the quality of AI features in Figma products
verified

Prerequisites & Qualifications

  • check Extensive experience in building generative AI features through prompt engineering and fine-tuning models in production environments
  • check Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace, etc.
  • check 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
  • check 4+ years of experience in Generative AI
  • check 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision
  • check Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java, or R)
  • check Experience communicating and working across functions to drive solutions
Ready to apply to Figma Greenhouse Board?
You will be redirected directly to the official hiring portal.
Apply Now open_in_new

About Figma Greenhouse Board

Verified hiring organization details.

View Company Profile →

Figma is a collaborative interface design and prototyping tool built on the web, enabling teams to build products together. Headquartered in San Francisco, CA with a presence in New York, NY, this entity represents Figma's active recruitment channel via Greenhouse for technical and operational roles.

Engineering Culture: Figma's engineering and corporate culture emphasize cross-functional collaboration, open design practices, and user-centric problem solving. The company focuses on scaling modern web technologies and infrastructure to support real-time, highly concurrent collaborative workflows for global product teams.
AI Applied Scientist
Verified Listing
Apply open_in_new