Research Engineer

We're building the creative layer for modern communication. Every month, over a billion people make presentations — but the tools they use to make them haven't evolved in decades. We're changing that, using AI to disrupt a massive market.

📈 Millions of people rely on Gamma to create, teach, and persuade, creating more than 1 million gammas every day.

💻 We see Gamma as the next great workplace tool, combining viral B2C love with a massive B2B opportunity. We believe AI can be a true creative partner: one that understands context, clarity, and taste.

💸 We’ve reached a $2.1B valuation, crossed $100M in annual recurring revenue, and have been profitable since 2023.

💙 We're an imaginative, passionate team who takes our work seriously, but not ourselves. Our culture is warm, a little quirky, and fueled by curiosity.

As a Research Engineer at Gamma, you'll build models for visual communication, a foundational bet for the company. You'll teach models to reason about spatial composition, hierarchy, and visual language the way a skilled communicator or designer does.

This work sits at the intersection of research rigor and product impact. You’ll have the opportunity to build evals and training data for a field where there isn’t much of either. You’ll fine-tune vision-language models so that Gamma's 100M+ users get exceptional design every time they generate.

You'll succeed here if you combine deep expertise in VLMs and multimodal modeling with a research mindset, comfort working in ambiguity, and a rigorous eye for visual and design quality.

Our team has a strong in-office culture and works in person 4 to 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.

• Fine-tune vision-language models to generate and critique layouts, reason about design intent, and translate content into coherent visual form
• Design evaluation frameworks and benchmarks for visual communication quality, covering layout, typographic structure, color, and information density, the dimensions generic text evals miss
• Lead proprietary data collection for visual design tasks, building the datasets needed to teach models design principles that aren't available off the shelf
• Run rigorous experiments to understand model behavior, then turn the results into targeted improvements: a new training objective, a fine-tuned model, or a sharper benchmark
• Diagnose systematic failure modes in production output and fix them at the root rather than patching symptoms
• Build the tools and workflows that let the team iterate and validate fast
• Partner with product and engineering to ship quality improvements that hold up at scale

• Hands-on experience with vision-language models or multimodal modeling: training, fine-tuning, or systematically evaluating them
• Experience with post-training techniques including supervised fine-tuning and reinforcement learning
• Track record of building evaluations for subjective or hard-to-measure qualities, not just accuracy on labeled benchmarks
• 2+ years building AI systems, with production experience shipping models that real users depend on
• Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent hands-on research experience. A strong publication record at top-tier conferences such as NeurIPS, CVPR, ACL, or comparable venues.

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $340K plus benefits & equity.

Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.

If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.

We're building on a full Typescript stack centered around some of the most modern and popular technologies.

• NextJS
• Vercel
• ReactJS, Chakra UI
• ProseMirror / Tiptap / YJS for collaboration

• Prisma, Postgres
• Clickhouse
• Kafka
• Infra: Terraform, ECS Fargate

• We use our own custom, open-source AI prompting framework, AIJSX. We have a lot of custom tools built in-house, but also new ones like Vercel AI SDK.
• Full end-to-end observability using Datadog, Braintrust, and our own data warehouse

AI generated presentations daily

users around the world

AI images generated daily

LLM tokens processed per month

• You get energy from small teams doing big things.
• You love when design, code, and storytelling overlap.
• You default to action, even when the answer isn’t clear yet.
• You value details, but know when to ship and move on.
• You bring both the spreadsheets and the sparkle, equal parts workhorse and unicorn.
• You believe AI should amplify creativity, not replace it.
• You know kindness and intensity are not opposites.
• You like working with people who care deeply: about their craft, their teammates, and the users on the other side of the screen.

Gamma is full of imaginative, passionate people who take their work seriously but not themselves. The culture is warm, a little quirky, and fueled by curiosity. It’s the kind of place where you’ll debate a pixel on Monday, laugh over someone’s keyboard setup on Tuesday, and ship something remarkable by Friday.

We care about craft, move with intention, and don’t mind getting a little scrappy. It’s fast, creative, and occasionally chaotic — but that’s what makes it interesting.

We asked the team what makes Gamma, Gamma. Here were some of their answers:

• "quirky, inspiring, fun, a little wild in the best way"
• "You can have an idea and just run with it."
• "Everyone’s talented and humble — the mix keeps you sharp."
• "We ship cool stuff, learn a ton, and laugh a lot doing it."

We're a team of dreamers and doers building in beautiful San Francisco 🌉

We're kabbadi enthusiasts, pickleballers, dog herders, woodworkers, keyboard nerds, potters, and more — and we can't wait to meet you!