PyTorch MLOps Engineer - AI Specialist

Role Summary

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.

Requirements

• 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)
• Upload resume
• AI interview based on your resume
• Submit form
• Resources & Support
• For details about the interview process and platform information, please check:

Additional Information

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