MLOps Engineer | Remote

Role Overview

MLOps Engineer (Remote) working full-time (40 hours/week) on a W2 contract basis. Focus is on improving model performance across MLOps, training infrastructure, and ML system workflows.

What You’ll Be Doing

• Improve model performance across MLOps, training infrastructure, and ML systems workflows
• Design and solve complex MLOps and distributed systems engineering tasks
• Evaluate technical solutions and provide structured written feedback on infrastructure performance
• Develop evaluation frameworks for:
  • training pipelines
  • distributed systems
  • kernel-level optimization
• Collaborate with technical experts to maintain consistency and accuracy across datasets

What We’re Looking For

• Strong experience in ML infrastructure, MLOps, and ML systems engineering
• Strong experience with JAX and/or PyTorch in large-scale production environments
• Strong experience writing and optimizing custom GPU kernels using Pallas or Triton
• Strong experience reasoning about distributed systems and optimizing training pipelines
• Excellent written communication and technical documentation skills
• Ability to reliably commit to a full-time weekday schedule

Contract / Compensation

• W2 Contract, Remote, full-time
• Rate: $90–$140 per hour (commission mentioned in posting text)

How to Apply

• Upload resume and submit the form / interview process (per posting instructions).