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Member of Technical Staff, Deeptune Environments

Mercor· Deeptune
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New York City$160k - $500kFull-timePosted 2mo ago

About the role

Role building the systems that run high-fidelity simulation environments for AI labs, including backend infrastructure, environment pipelines, and interfaces for researchers, with high ownership and shipping against real external deadlines.

Responsibilities

  • Build the systems that build environments end-to-end: the simulated app or system, the agent-facing tool surface, the task definitions, and the verifiers that score them.
  • Design and operate the backend infrastructure that runs environments at scale (containers, orchestration, queues, observability) — standard distributed-systems backend work, applied to a new domain.
  • Turn messy human data into clean, reproducible training environments.
  • Care about reliability and speed as much as correctness.
  • Own the interface with labs and researchers: translate a research goal into a system that exists next week.

Qualifications

  • 2+ years of full-stack / backend engineering, including at least 1 year at a startup, ideally as a founding engineer, an early engineer at a fast-growing venture, or a founder yourself
  • Strong generalist with systems depth. We primarily use Python and seek engineers who are fluent in at least one language. Ideally, they should be skilled at applying agents with discernment and able to quickly adapt to different problem requirements.
  • Comfortable around ML/LLM concepts. Not an ML background, but enough working knowledge of post-training, evals, and reward modeling to partner with researchers and translate their specs into systems.
  • Thrives in ambiguity. You scope your own work, make pragmatic calls, and ship without a spec handed to you.
  • Ability to raise the bar around you. Coaching engineers and driving execution, while staying in the code
  • Bonus (not required): sandboxing or virtualization, browser and computer-use automation, CI/build systems, developer tooling.

Skills

Required:Full-stack / backend engineeringPythonDistributed systemsSystem design under ambiguity
Nice to have:ML/LLM concepts
Last updated Sep 16, 2026. Interested? Apply on the company site.

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