Figma Logo

Figma

Researcher, AI Evaluations

Posted 2 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA, USA
169K-250K Annually
Senior level
Hybrid
San Francisco, CA, USA
169K-250K Annually
Senior level
Lead AI evaluation research by defining quality criteria, designing human and automated studies, building rubrics, datasets, benchmarks, and thresholds, and analyzing model performance. Validate automated graders and LLM-as-judge methods, identify failure patterns and uncertainty, and translate findings into model, product, and release decisions. Collaborate with AI researchers, engineers, and cross-functional stakeholders while developing reusable evaluation frameworks and mentoring peers.
The summary above was generated by AI

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 hiring a Researcher, AI Evaluations to join AI Insights within Figma’s Research team. This is a senior individual contributor role with no direct reports, reporting to the AI Insights lead and working directly with AI Research within AI Platform. You’ll strengthen the team’s model, agent system, and evaluation work through hands-on studies, clear rubrics, and reliable measures of quality that reflect user needs, and your findings will guide model and product improvements.

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

What you’ll do at Figma:
  • Own evaluation research for priority AI Research workstreams. Define quality criteria, design studies, analyze results, and recommend actions
  • Build rubrics, representative evaluation datasets, benchmarks, and quality thresholds that reflect user needs and expert design judgment
  • Work with AI Research and Modeling Platform engineers to integrate validated methods into repeatable evaluations and regression tests
  • Explain quality, failure patterns, and uncertainty. Recommend actions that guide model selection, model improvements, product priorities, and release decisions
  • Validate automated graders against human ratings, including LLM-as-judge methods that use a large language model to score outputs. Identify bias, gaps, and uncertainty
  • Connect user research with AI Research’s model development work. Share reusable methods, review work, and mentor peers
We’d love to hear from you if you have:
  • 7+ years of experience in research, applied research, or a related field, with a proven track record of independently leading complex evaluation projects and delivering measurable impact
  • Hands-on experience evaluating AI products, with demonstrated ability to translate evaluation findings into meaningful model and product improvements
  • Expertise in designing human evaluations, scoring rubrics, datasets, and benchmarks, including measuring inter-rater agreement and validating automated graders
  • Strong qualitative and quantitative research skills, with the ability to analyze data, interpret uncertainty, and draw actionable insights into model behavior and performance
  • Excellent problem-solving and stakeholder management skills, with the ability to navigate ambiguity, prioritize risks, balance speed with rigor, and deliver recommendations that influence cross-functional decisions
While it’s not required, it’s an added plus if you also have:
  • Experience integrating automated evaluations and regression testing into engineering workflows, with familiarity in tools such as Braintrust, LangSmith, DeepEval, or equivalent platforms
  • Proven ability to develop scalable, reusable evaluation frameworks and drive the adoption of consistent quality standards across teams
  • Background in product design, product management, data science, or engineering, with familiarity in Figma or similar design and developer tools
  • Strong statistical expertise in sampling, significance testing, and agreement metrics, with experience conducting experiments or analyzing performance metrics for AI-powered features
  • Advanced training in a quantitative or behavioral discipline, gained through formal education or equivalent hands-on experience
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Pay Transparency Disclosure

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. 

Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.

Annual Base Salary Range:
$169,000—$250,000 USD

At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to [email protected]. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. 

Examples of accommodations include but are not limited to: 

  • 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 

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.

Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:

  • Candidates may submit up to 5 applications during any rolling 30-day period.
  • Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.

Once the applicable days has passed, candidates are welcome to apply again.

HQ

Figma San Francisco, California, USA Office

Our San Francisco Hub is downtown, located near convenient transit options (MUNI + Bart), green spaces, and cafes.

Similar Jobs

19 Seconds Ago
Hybrid
Santa Clara, CA, USA
104K-155K Annually
Expert/Leader
104K-155K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Executive Assistant supporting VP-level and senior finance leadership through strategic calendar management, prioritization, confidential information handling, global scheduling, travel coordination, expense reconciliation, team events, onboarding, and organizational problem-solving. The role requires sound business judgment, diplomacy, discretion, proactive communication, and the ability to protect leadership focus while coordinating across stakeholders and time zones.
Top Skills: BoxConcurExcelMS OfficeOutlookPowerPointWordZoom
4 Minutes Ago
Remote or Hybrid
150K-262K Annually
Senior level
150K-262K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns end-to-end delivery of enterprise AI product capabilities, including roadmap development, feature prioritization, requirements and specifications, launch execution, and iteration. Partners closely with engineering, data science, customers, and cross-functional stakeholders to resolve technical tradeoffs, analyze usage data, define metrics, and deliver customer-focused outcomes. Requires hands-on experience shipping AI or data-powered products and supporting enterprise pilots, UAT, go-live, and stabilization.
Top Skills: AIConversational SystemsData ScienceExperimentationProduct Analytics
5 Minutes Ago
Hybrid
Santa Clara, CA, USA
172K-334K Annually
Senior level
172K-334K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Set technical direction for HR-focused agentic and conversational AI architecture. Own agent orchestration, context assembly, autonomy boundaries, tool and instruction contracts, evaluation infrastructure, safety, observability, and production quality. Establish standards for AI-assisted engineering, lead migrations and complex integrations, and partner with product, engineering, and design. The role requires hands-on experience with LLM APIs, retrieval-grounded systems, agent workflows, evaluation, entitlement-aware data handling, and customer-facing production systems.
Top Skills: Agent OrchestrationAPIsCi/CdFunction CallingJavaJavaScriptLlm ApisReactRelational DatabasesRetrieval-Augmented GenerationStructured OutputsTool CallingTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account