Data Demons
San Francisco, CAFull-time$210–285K/yrPosted 2w agoStill listed 1 day ago
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At a glance
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Job overview
TypeSafe.ai is an AI lab developing dependable frontier models and production-ready AI. The Data Demons role builds data-tooling interfaces, datasets, and evaluation systems to advance model intelligence and reliability. The team uses Python, TypeScript, Next.js, Tailwind CSS, and Kubernetes, and works fully in person from its San Francisco office. The role partners with product managers and customers to turn real-world needs into model and system improvements.
Skills & qualifications
Skills
Benefits
Full job description
About TypeSafe We’re building prod, not god. TypeSafe is an AI lab pushing frontier model intelligence in a new direction, starting with System One Models. We combine the reasoning of LLMs with the reliability of code, for truly trustworthy AI. Our first model, Jev, launched in September 2026. 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
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Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model
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Build internal data-tooling and evaluation interfaces — fast — that make model development clearer (evaluation, debugging, data inspection)
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Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations
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Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior
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Turn raw model outputs and data into clear, inspectable UIs — owning a domain end-to-end, with craft and judgment over simple optimization
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Partner closely with product managers and customers to translate real-world needs into concrete model and system improvements
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Continuously iterate, learn, and co-discover new techniques for building exceptional, trustworthy AI products
We are looking for people who
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Are generalists with solid fundamentals, strong coding ability, and product intuition
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Maintain high attention to detail and a strong bar for quality
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Enjoy thinking beyond the code to how systems are used in the real world
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Are scrappy and hacky, and thrive in ambiguous problem spaces — taking satisfaction in finding creative solutions
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Don't trust LLMs blindly — they look at the reality of model generations
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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 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 value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines. We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company. We provide
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100% covered health insurance
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Daily lunch and dinner
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Visa sponsorships
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401K plans
How this job compares
Set against the 41,339 open Software Engineer jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This posting$210–285K/yr
- California median$165–245K/yr7,752 salary ranges
- US median$135–217K/yr32,758 salary ranges
This range's midpoint, $248K, is 21% above the California median midpoint ($205K) — in the top quarter of Software Engineer salary ranges in California.
- Openings
- Olive Jobs lists 9,642 open Software Engineer jobs in California and 41,339 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Software Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (33,511 postings).
- Education
- 15,295 of the 41,339 open Software Engineer jobs (37%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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