MLOps Engineer

Senior ML Infrastructure / MLOps Engineer

Location : SF Bay Area (On-site)

We’re representing an ambitious AI research organization building physical autonomy systems powered by large-scale ML. You’ll own the infrastructure that makes cutting-edge model development reliable, reproducible, and scalable — from training to deployment.

⭐ The Opportunity

Be a core part of the team responsible for the machine learning foundation of a next-generation AI platform. You will help build and maintain the systems that enable performant model training, experimentation, and production workflows at scale.

What You’ll Do

• Build and maintain scalable ML infrastructure supporting training, fine-tuning, RLHF / DPO workflows, and distributed experiments.
• Develop and manage data pipelines, dataset versioning, experiment tracking, and reproducible evaluation frameworks.
• Operate containerized training and inference environments, including CI / CD automation for models.
• Partner with researchers, engineers, and systems teams to enable rapid iteration and robust deployments.

What You Bring

Why This Role Excites People