About us
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.
About the role
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.
What you'll do
- 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
What you'll bring
- 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.
Compensation range:
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.
Engineering at Gamma
Our tech stack:
We're building on a full Typescript stack centered around some of the most modern and popular technologies.
AI
- 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
Our tiny team operates at massive scale:
AI generated presentations daily
users around the world
AI images generated daily
LLM tokens processed per month
Life at Gamma
🤝 You’ll fit right in if…
- 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.
💙 Who we are
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.
💬 Here’s a bit about what it’s like to work here, from people on the inside:
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."
Meet the team
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!
