ML Systems Engineer - Fully Remote | Upto $110/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: PyTorch Expert

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 PyTorch at scale.

Experience writing or optimizing custom GPU kernels using Triton or Pallas .

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.

Compensation & Legal

W-2 employment with Cincinnatus LLC.

Application Process (Takes 20–30 mins to complete)

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Originally posted on Himalayas