PyTorch MLOps Engineer - AI Specialist
Description
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) 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. , Show more Show less