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

Work Snapshot Type : W2 Location: United States Commitment: ~30+ hours/week What You Ll Be Doing Guide engineering and research teams on MLOps, ML infrastructure, and training system optimization Design challenging tasks and develop 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 Strong experience with JAX and/or PyTorch in production environments Strong experience in writing or optimizing GPU kernels using Pallas or Triton Strong understanding of distributed systems and training pipeline design Strong analytical and problem-solving skills in ML systems optimization Ability to communicate complex technical decisions clearly in written form Ability to work consistently during weekdays in a remote environment How To Apply Upload resume Interview Submit form