MLOps Engineer (JAX, PyTorch, Pallas/Triton) | Remote

Role: MLOps Engineer (JAX, PyTorch, Pallas/Triton)

Remote (United States)

What you’ll do

• Guide engineering and research teams on MLOps, ML infrastructure, and training system optimization.
• Design structured solutions for ML systems and infrastructure workflows.
• Evaluate MLOps tasks and provide detailed technical feedback.
• Develop evaluation frameworks for training pipelines, distributed systems, and kernel-level optimization.
• Work on large-scale AI model infrastructure using modern ML frameworks.
• Collaborate with subject matter experts to ensure accuracy and consistency in training data.

What we’re looking for

• Strong experience in ML infrastructure, MLOps, or ML systems engineering.
• Production experience with JAX and/or PyTorch.
• Experience writing and/or optimizing GPU kernels using Pallas or Triton.
• Strong understanding of distributed systems and training pipeline design.
• Strong analytical and problem-solving skills for ML systems optimization.
• Ability to clearly communicate complex technical decisions in writing.
• Ability to work consistently on weekdays in a remote environment.

Engagement / schedule

• Commitment: ~30+ hours/week
• Employment type: W2 (United States)

How to apply

• Upload resume and submit the application/interview form.