8 months ago

Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Research Engineer at Gamma focuses on ensuring AI quality across products by designing evaluation frameworks, improving production prompts through iterative experimentation, and fine-tuning models to deliver high-quality AI outputs for millions of users. The role blends research rigor with product impact, building tools for rapid experimentation and collaborating with product and engineering teams to ship reliable AI improvements at scale.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•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 faster iteration on AI improvements
•Fine-tune models on targeted datasets to improve baseline performance, preventing issues like poor layout choices or low-quality outlines
•Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale

Pay and Benefits

Salary: USD 180,000 - 340,000 annually

Key Requirements

•2+ years working with AI systems, with demonstrated experience shipping production-grade AI products
•Deep hands-on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs
•Strong experimental mindset with the ability to design tests, analyze model performance, and iterate toward measurable quality improvements in ambiguous problem spaces
•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)

Experience:2+ yearsAI/MLSaaSSoftware

Education:Bachelor's in Computer Science, Machine Learning or related field

Skills:Attention to detailProblem-solvingResearch mindsetCollaborationCommunication

Tech Stack:LLMReinforcement learningSupervised fine-tuningPrompt engineeringEvaluation frameworks

Company Brief

Gamma

Gamma (gamma.app) is an AI-powered visual storytelling platform that generates presentations, websites, documents, and social content from text or briefs — combining AI design agents, smart layouts, and collaboration tools for fast, polished outputs.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2020

Website LinkedIn

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Gamma

8 months ago

Research Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•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 faster iteration on AI improvements
•Fine-tune models on targeted datasets to improve baseline performance, preventing issues like poor layout choices or low-quality outlines
•Partner with product and engineering teams to ensure AI quality improvements ship quickly and work reliably at scale

Pay and Benefits

Salary: USD 180,000 - 340,000 annually

Key Requirements

•2+ years working with AI systems, with demonstrated experience shipping production-grade AI products
•Deep hands-on experience with prompt engineering, LLM experimentation, and systematic evaluation of AI outputs
•Strong experimental mindset with the ability to design tests, analyze model performance, and iterate toward measurable quality improvements in ambiguous problem spaces
•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)

Experience:2+ yearsAI/MLSaaSSoftware

Education:Bachelor's in Computer Science, Machine Learning or related field

Skills:Attention to detailProblem-solvingResearch mindsetCollaborationCommunication

Tech Stack:LLMReinforcement learningSupervised fine-tuningPrompt engineeringEvaluation frameworks

Company Brief

Gamma

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2020

Website LinkedIn