Member of Technical Staff, Synthetic Data

About Typesafe

TypeSafe is a frontier model lab. We build reliable and general AI systems to power economically valuable automation. Our mission is to usher in a new era of Transformative Artificial Intelligence (TAI): technology with the power to drive a societal shift on the scale of the agricultural and industrial revolutions.

While others chase benchmarks and academic puzzles, we've been quietly rethinking the LLM stack from first principles — building a new kind of general frontier model designed for real-world reliability, decision-making, and autonomy in production.

We're a small, fast-moving team from OpenAI, Google Brain, and Meta/FAIR, backed by top-tier investors. Since mid-2024, we've been engineering the foundation for what comes after the current "state-of-the-art" — a model that actually gets things done.

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 Claude Code and Cursor.

What You'll DO

• 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 (~2–7 yrs) 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 dedicated to real-world impact preparing the world for Transformative AI. Our team works fully in-person in our San Francisco office near Embarcadero station. We love what we do and care about our work a lot.

• We strive for excellence and craftsmanship and won't stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow as a team and as individuals.

• We also value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don't try to be machines.

• We want you to be able to do the most impactful work of your career at TypeSafe and help define our future as a company.

• WE PROVIDE

• Base salary of $180k–280k plus equity, based on leveling

• 100% covered health insurance

• Daily lunch and dinner

• Visa sponsorships

• 401K plans