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Data Demons

TypeSafe AI· Engineering
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San Francisco Office$210k - $285kFull-timePosted 5d ago

About the role

Data-focused engineering role building data tooling, evaluation interfaces, and end-to-end model product capabilities to drive trustworthy AI at TypeSafe.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:General programming proficiencyLLM implementation experience

Benefits

  • 100% covered health insurance
  • Daily lunch and dinner
  • Visa sponsorships
  • 401K plans
Last updated Oct 20, 2026. Interested? Apply on the company site.

About TypeSafe AI

TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our first System One Model, Jev, in early access.

System One ModelsJevRLCDReinforcement Learning for Calibrated Decisionscalibrated decisionLLMsTypeSafe AI
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