Description

We are seeking a Senior ML Engineer to build and scale the machine learning systems that power our intelligent robots. In this role, you will design and maintain the infrastructure for training, evaluating, and deploying the ML models that enable robot locomotion, perception, manipulation, navigation, and human-robot interaction.

You'll work at the intersection of machine learning and systems engineering, ensuring our ML training and deployment systems are robust, efficient, and scalable as we grow from prototype to production.

Key job responsibilities
- Design and build scalable ML training infrastructure, including distributed training pipelines and GPU cluster management both in the cloud and on-prem

- Develop systems for experiment tracking, model versioning, and reproducibility

- Build deployment infrastructure for serving ML models on robotic hardware with strict latency requirements

- Optimize model inference for edge devices and embedded systems

- Collaborate with research teams to accelerate the path from experimentation to production

- Contribute to data pipelines and labeling infrastructure as needed, in partnership with the data platform team