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 Expert
Type:
Contract
Compensation:
$90–$140/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.
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Evaluate MLOps tasks and solutions and provide clear, written technical feedback.
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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.
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Demonstrable career progression.
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Ability to engage reliably for at least 40 hours/week during weekdays.
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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.
#hiringmercor