MLOps Engineer (JAX, PyTorch, Pallas/Triton)
Mercor
$70 – $110/hour · as listed
MLOps Engineer skilled in JAX, PyTorch, and Triton/Pallas optimization. This advanced-level position involves architecting and maintaining machine learning infrastructure to support large-scale model development. You'll work on deployment pipelines, performance optimization, and systems that enable efficient training and inference of generative AI models. The role suits engineers with strong coding fundamentals and hands-on experience in production ML environments.
Based in the US, this is a remote opportunity available through Mercor's platform. The position is offered on an hourly basis at $70–$110/hour for approximately 40 hours per week. You'll collaborate with a research-focused AI team working on foundational large language models, contributing technical depth to core infrastructure that powers advanced AI systems.
From the listing: Mercor marketplace · hourly · 40h/week. Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced Large Language Models. # 1\. Overview Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking talented MLOps Engineers with deep, hands-on expertise in modern ML frameworks — spe
Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.
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