Machine Learning Engineer | Upto $45/hr

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) — IN Type: Contract Compensation: $35–$45/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 30 hours/week during weekdays. Strong written communication skills and the ability to explain complex technical decisions clearly.

Compensation & Legal W-2 employment with Cincinnatus LLC. Paid weekly .

Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.