Remote MLOps Engineer: Scalable ML Systems & GPU Kernels

Mercor is seeking an MLOps Engineer (remote, contract) to guide teams in closing knowledge gaps and enhancing AI model performance across MLOps and training infrastructures. The role requires hands-on experience with JAX or PyTorch at scale and proficiency in GPU kernel optimization using Pallas or Triton.

You will design domain-relevant tasks, provide clear technical feedback, and develop evaluation rubrics for training pipelines while collaborating with experts to ensure data quality.

Consider building your career as a Remote MLOps Engineer:
Scalable ML Systems & GPU Kernels at Remote Jobs.

We are looking to fill the Remote MLOps Engineer:
Scalable ML Systems & GPU Kernels position at Remote Jobs in United States.

The Remote MLOps Engineer:
Scalable ML Systems & GPU Kernels role at Remote Jobs is now open for applications in United States.