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

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
• A strong understanding of distributed systems and training pipeline design
• Strong analytical and problem-solving skills in ML systems optimization
• The ability to communicate complex technical decisions clearly in written form
• The ability to work consistently during weekdays in a remote environment