Data Demons

About TypeSafe

While others chase leaderboards, we’re rebuilding the LLM stack from first principles to make models smarter and also dependable enough to run in production. We’re a small, fast team backed by an $870M Series A led by a16z. Made in SF, with love. Come join the frontier.

About the role

We're looking for scrappy engineers who ship data-tooling interfaces fast. You will progress model intelligence through the interfaces, datasets, and evaluation tooling you build, combining product sense, data science, and engineering. You'll be part of the real "secret sauce" of TypeSafe: figuring out how our models can provide production-ready reliability in the real world.

Our tech stack is primarily Python. We also use TypeScript, Next.js, and Tailwind CSS for frontend, with Kubernetes for orchestration. We empower developers to use any tooling they find helpful for getting their job done, including AI and agents.

What you'll do

Check out our team video: https://vimeo.com/1231083924/22b52f6b1d

• Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model
• Build internal data-tooling and evaluation interfaces — fast — that make model development clearer (evaluation, debugging, data inspection)
• Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations
• Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior
• Turn raw model outputs and data into clear, inspectable UIs — owning a domain end-to-end, with craft and judgment over simple optimization
• Partner closely with product managers and customers to translate real-world needs into concrete model and system improvements
• Continuously iterate, learn, and co-discover new techniques for building exceptional, trustworthy AI products

We are looking for people who

• Are generalists with solid fundamentals, strong coding ability, and product intuition
• Maintain high attention to detail and a strong bar for quality
• Enjoy thinking beyond the code to how systems are used in the real world
• Are scrappy and hacky, and thrive in ambiguous problem spaces — taking satisfaction in finding creative solutions
• Don't trust LLMs blindly — they look at the reality of model generations
• Have hands-on experience implementing LLMs and understand their capabilities and limitations

Life at TypeSafe

We’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.

We provide

• 100% covered health insurance
• Daily lunch and dinner
• Visa sponsorships
• 401K plans