Remote PyTorch MLOps Engineer for AI Systems

Mercor; New York (NY); On-site; USD 96,432 - 151,536; Part time

Job summary

Mercor is seeking a PyTorch Expert to enhance AI model performance in a remote role. You will guide teams, design tasks, and evaluate MLOps solutions while collaborating with experts in the field. A commitment of 40 hours a week is required.

The ideal candidate will have over 2 years of experience in ML infrastructure or engineering, including hands-on experience with PyTorch and optimizing GPU kernels. The position offers competitive remuneration at $70–$110 per hour.

Qualifications

• 2+ years of experience in ML infrastructure, MLOps, or ML systems engineering.
• Hands-on production experience with PyTorch at scale.
• Experience optimizing custom GPU kernels.

Responsibilities

• Guide research and engineering teams to improve AI model performance.
• Design domain-relevant tasks and write structured solutions.
• Evaluate MLOps tasks and provide technical feedback.
• Develop guidelines for training pipeline design and optimization.
• Collaborate with experts to ensure training data accuracy.

Skills

ML infrastructure

MLOps

ML systems engineering

PyTorch

GPU kernels

Tools

Triton

Pallas

Job description

Mercor is seeking a PyTorch Expert to enhance AI model performance in a remote role. You will guide teams, design tasks, and evaluate MLOps solutions while collaborating with experts in the field. A commitment of 40 hours a week is required.

The ideal candidate will have over 2 years of experience in ML infrastructure or engineering, including hands-on experience with PyTorch and optimizing GPU kernels. The position offers competitive remuneration at $70–$110 per hour.