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MLOps Engineer - AI Specialist

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Remote

MLOps Engineer - AI Specialist

Mercor

MLOps Engineer - AI Specialist

Skills

PyTorchMachine LearningAI

3 months ago

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Important information


Contract type:

Part time

Location:

New York, NY, USA

Work mode:

Remote

Published on:

15 August 2026

What they need


About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: MLOps Engineer (JAX, PyTorch, Pallas/Triton)

Type: Contract Compensation: $70–$110/hour Location: Remote Commitment: 40 hours/week Role Responsibilities

  • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps, training infrastructure, and ML framework-level topics.
  • Design challenging, domain-relevant tasks, and write accurate and well-structured solutions to MLOps and ML systems problems.
  • Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
  • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design, distributed systems reasoning, and kernel-level optimization across tasks.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications Must-Have

  • 2+ years of dedicated professional experience in ML infrastructure, MLOps, or ML systems engineering at a recognized, top-tier organization.
  • Hands-on production experience with JAX and/or PyTorch at scale.
  • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
  • Demonstrable career progression.
  • Ability to engage reliably for at least 40 hours/week during weekdays.
  • Strong written communication skills and the ability to explain complex technical decisions clearly.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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