Member of Technical Staff, Deeptune Environments

The role

You will build systems for high-fidelity simulation environments, APIs, tool interfaces, and grading layers. You will design backend infrastructure to run environments at scale and turn human data into training environments.

What you will do

• Build systems that build environments end-to-end including simulated apps, tool surfaces, task definitions, and verifiers
• Design and operate backend infrastructure using containers, orchestration, queues, and observability
• Turn messy human data into clean, reproducible training environments
• Own the interface with labs and researchers to translate research goals into systems
• Drive outcomes and stay hands-on in a high-ownership role

Required qualifications

• 2+ years of full-stack / backend engineering
• At least 1 year at a startup
• Fluent in at least one language
• Working knowledge of post-training, evals, and reward modeling
• Ability to scope own work and ship without a spec

Nice to have

• Founding engineer or early engineer at a fast-growing venture
• Founder experience
• Skilled at applying agents with discernment
• Sandboxing or virtualization
• Browser and computer-use automation
• CI/build systems
• Developer tooling

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.