Responsibilities

The Software Engineer will develop and maintain ML infrastructure, including sensor data ETL pipelines and continuous training pipelines. They will create an MLOps system for managing the lifecycle of ML cloud training and inference pipelines, and continuously improve ML model development and deployment processes. Collaboration with ML engineers to design metrics for ML tasks and implement algorithms for ranking annotation candidates is expected. The role involves working with annotation providers to set up quality control and feedback loops, as well as making sensor data widely discoverable for Robotics Engineers across the company.