We're Cruise, a self-driving service designed for the cities we love.
We’re building the world’s most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.
We’re the Reliability Data Science (RDS) team, responsible for driving data science, data analytics, data visualization and tools development to perform reliability analysis of components and systems throughout Cruise to improve vehicle availability across all Cruise operations. We do this by building predictive and forecasting reliability data models, developing investigation tools; streamlining issue management process; documenting and standardizing the content and performing ad-hoc data analyses. We are looking for a talented and hardworking intern to ride with us on this fun journey. In addition, you will be given one project to support one of our internal ‘self-service’ web-application to help other Cruisers get required data without them writing a single line of code.
WHAT YOU'LL BE DOING: At a high level we expect this individual to:
Work on building new web application tools.
Support vehicle reliability engineers with failure investigations by querying, processing vehicle, service data.
Develop dashboards to display KPIs and prioritize issues for fleet reliability and fleet engineering team.
WHAT YOU MUST HAVE:
Python Advance SQL (Bigquery)
Prior real world project using Machine learning libraries
Use of Plotly Dash
Any full stack web developer experience
The salary range for this position is $28.00 - 68.00/hour. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.