Gamma
Research Engineer
San Francisco · Full-time
Sponsorship not specified$180k-$340kDetected 257 days ago
Machine LearningLLMsA/B TestingResearchPublic Speaking
About the role
- 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 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.
Responsibilities
- Design and maintain evaluation frameworks that measure AI output quality across all Gamma experiences, developing metrics and benchmarks to assess model performance
- Build tools and workflows to support rapid experimentation and quality analysis, enabling faster iteration on AI improvements
- Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale
- Strong experimental mindset with the ability to design tests, analyze model performance, and iterate toward measurable quality improvements in ambiguous problem spaces
- You'll own the quality of AI across everything Gamma creates.
Requirements
- Deep hands-on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs
Compensation
- The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $340K plus benefits & equity.
Benefits
- Experience with post-training techniques for LLMs including reinforcement learning and supervised fine-tuning
- Bachelor's degree in Computer Science, Machine Learning, or a related field, or equivalent hands-on experience with AI research and experimentation (Nice to have)
This listing is sourced directly from Gamma's careers page and normalized into a canonical job model.