235K–376K USD / year

Applied Data Researcher

DataRemote — United States
Published on 2026-11-12
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Lead research and development of data products, AI evaluation methods, and prototypes using Figma’s large-scale collaborative design data. The role combines hands-on coding and scientific investigation with technical leadership, cross-functional partnership, and communication of recommendations to executives.

About the company

Figma is a collaborative design platform for product teams to create interfaces, prototypes, and design systems in the browser. It helps designers and developers work together on digital products from ideation through handoff.

Stack

PythonSQLLLMsSnowflakeAWSDagsterdbtHex

What you'll do

  • Identify and lead investigations into high-impact data and AI opportunities
  • Develop evaluation methods, datasets, baselines, rubrics, and measures for generative AI and agentic workflows
  • Build and test LLM-powered tools, models, prototypes, and demos
  • Guide larger projects and mentor scientists and engineers while contributing directly to code and methods
  • Turn validated prototypes into reliable, maintained systems, independently or with engineering partners
  • Establish reusable methods and tools, drive adoption, and communicate findings and tradeoffs to partners and executives

What we're looking for

  • Deep expertise in machine learning, statistics, causal inference, or a related quantitative field
  • Hands-on experience with generative AI evaluation, measurement, labeling, and agentic workflows
  • Fluent programming skills in Python or a comparable language, plus SQL
  • Demonstrated end-to-end ownership of ambiguous work, from opportunity identification through implementation and sustained use
  • Experience shaping technical direction and leading cross-functional or senior scientific work
  • Strong judgment and communication, including explaining uncertainty and recommendations to executives

Nice to have

  • Experience with human labeling, automated judge validation, conversational data, or multimodal AI
  • Experience building interactive applications, lightweight interfaces, APIs, or reusable open-source tools
  • Cloud and data infrastructure experience
  • MS or PhD in a quantitative discipline, or equivalent applied depth

Benefits

  • Equity
  • Health, dental, and vision coverage
  • Retirement benefits with company contributions
  • Parental leave and reproductive or family planning support
  • Mental health and wellness benefits
  • Paid flexible PTO and paid sick leave
  • Company recharge days and cell phone and home internet reimbursements
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