Labeling & Tools, Software Engineer Internship/Co-Op

In this role, the intern will work on data pipelines and tooling infrastructures that convert sensor data collected from test vehicles into labeled ground truth data that can be consumed by machine learning model training and validation processes. Activities include developing data pipelines that standardize data formats and facilitate data query ability, building frontend features used by machine learning engineers to access and manage their datasets.Technical Qualifications & Language RequirementsComputer Science background with Bachelor or M.S degree.Experience writing high quality Python code.Experience with large-scale data analytics engines such as Spark.Bonus QualificationsExperience in infra/tooling software for Autonomous Driving.Experience with developing data intensive web application frontend and backend.Experience working with Databricks.CompensationThe monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to ****** or your assigned recruiter.A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.