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Synthetic Data Engineer
TypeSafe AI
San Francisco, USA
Full-time
Senior · 5+ years experience
Onsite
USD 180000-280000 yearly / year
Discovered 1 weeks ago
PythonTypeScriptNext.jsTailwind CSSKubernetesClaude Code
Free
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PythonTypeScriptNext.js
Role Overview
Our synthetic data engineers research model intelligence. You will support the core training stack of our models with a combination of data science, creativity, and engineering skills. 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.
Responsibilities: On a day to day level, you might
Design and build reliable, production-grade AI systems that integrate large language models and our proprietary models into real-world workflows
Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model
Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior and performance
Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations
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 product
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.
Key Skills for This Role
PythonTypeScriptNext.jsTailwind CSSKubernetesClaude Code
Full Job Posting
About the Role
Our synthetic data engineers research model intelligence. You will support the core training stack of our models with a combination of data science, creativity, and engineering skills. 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.
Responsibilities: On a day to day level, you might
Design and build reliable, production-grade AI systems that integrate large language models and our proprietary models into real-world workflows
Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model
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