Lead and grow an ML infrastructure team to build, scale, and operate training, deployment, and agent/LLM systems across on-prem and cloud HPC. Partner with research, ML engineering, and platform teams to translate requirements into robust MLOps solutions, optimize GPU utilization, and establish company-wide ML infrastructure standards while mentoring engineers and driving model-driven practices.

The role is for internship opportunities, encouraging candidates to submit resumes for future consideration while explaining the company's values and mission.