FewerJobs.
All jobs

Research Engineer

Gamma - San Francisco, California, United States

Posted Nov 7, 2025

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified
Salary
$180K-$340K From the posting source checked Jun 20, 2026
401(k) match
Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

123% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research Engineer San Francisco, California, United States About the role You'll own the quality of AI across everything Gamma creates. As our Research Engineer, you'll design evaluation frameworks that measure AI output quality, systematically improve production prompts, and fine-tune models to ensure millions of users get exceptional results every time they generate content. This role sits at the intersection of research rigor and product impact. You'll diagnose failure patterns in AI-generated presentations, docs, and websites, then craft targeted improvements through iterative experimentation. You'll build the tools and workflows that enable rapid testing, validate changes against quality benchmarks, and ensure our AI gets smarter with every iteration. You'll succeed here if you combine deep technical expertise with a research-oriented mindset, comfort working in ambiguity, and an attention to detail that catches dimensions of quality others might overlook. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do - Design and maintain evaluation frameworks that measure AI output quality across all Gamma experiences, developing metrics and benchmarks to assess model performance - Systematically improve production prompts through iterative experimentation, diagnosing failure patterns, crafting targeted improvements, and validating against quality benchmarks - Conduct rigorous experiments to understand model behavior, analyze results, and derive insights that inform prompt and model improvements - Build tools and workflows to support rapid experimentation and quality analysis, enabling

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.

Apply at jobs.ashbyhq.com

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has field-level provenance to a source FewerJobs pulled: a government or employer source, or the original job posting. Posting-sourced facts are employer-stated and are labeled separately from government records.

Related jobs