Remote Applied Data Researcher: AI & Product Insights

Figma; San Francisco, New York (CA, NY); Remote; USD 235,000 - 376,000; Full time

Benefits offered by this job

Equity for employees

Health, dental, vision coverage

Retirement benefits with company match

Parental leave and family planning

Job summary

Figma is seeking an Applied Data Researcher to shape evaluation methods for generative AI and data-driven products. You will lead investigations, build tools and prototypes, and guide teams across Data Science, Engineering, Product, Design, and AI Research.

You will work directly with the Head of Data and senior leaders to translate scientific findings into product improvements while advancing AI-enabled workflows and metrics at scale.

Qualifications

• Deep expertise in machine learning, statistics, causal inference, or a related quantitative field.
• Hands-on experience in generative AI evaluation and measurement, including evals, labeling, and agentic workflows.
• Proficient in Python or similar language plus SQL; proven software development experience with AI tools.
• Proactive builder mindset with end-to-end ownership from method development to deployment.

Responsibilities

• Identify and vet opportunities across Data products, AI measurement, and applied data capabilities; set priorities with partners.
• Develop and validate methods for evaluating generative AI and agentic workflows; assess uncertain outcomes and real user results.
• Write code and build/modify LLM-powered tools, agents, models, and demos; apply AI-assisted coding and analysis.
• Provide technical direction, mentor scientists and engineers, and contribute substantially to code and methods.

Skills

Python

SQL

Machine learning

Experimentation

Education

MS or PhD in ML/CS

Tools

Snowflake

AWS

Dagster

dbt

Hex

Job description

Figma is seeking an Applied Data Researcher to shape evaluation methods for generative AI and data-driven products. You will lead investigations, build tools and prototypes, and guide teams across Data Science, Engineering, Product, Design, and AI Research.

You will work directly with the Head of Data and senior leaders to translate scientific findings into product improvements while advancing AI-enabled workflows and metrics at scale.