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.
In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work.
Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. 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, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.
As a Machine Learning Intern with Autonomy, you drive the research projects that address the everyday challenges that happen on urban roads, ones that do not have standard solutions available.
What you’ll be doing: On a day-to-day basis, you will:
- Conduct research to solve critical issues where a solution is uncertain and highly ambiguous
- Propose and implement alternative solutions and challenge the status quo
- Implement research ideas, conduct experiments and summarize results and findings
- Publish findings and new methods to top-tier conferences and journals
What you must have:
- Enrollment in a university program in an AV-related field (e.g. computer vision, machine learning, robotics, control)
- Strong expertise in machine learning / computer vision / graphics / robotics
- Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and publication
- Strong programming skills in Python and/or C++
- Strong verbal and written communication skills
Bonus points!
- Enrollment in a PhD program in an AV-related field (e.g. computer vision, machine learning, robotics, control) with multiple research publications in top conferences or journals
- Experience using deep-learning frameworks, e.g., TensorFlow, PyTorch, etc
- Experience in deploying perception algorithms and models into real-world environments
- Experience in the autonomous driving industry
The hourly rate range for this position is $48.75 - 68.00/hour. Compensation will vary depending on location, job-related knowledge, skills, and experience. These ranges are subject to change.
Why Cruise?
- Intern program elements:
- Ownership of impactful project work
- Mentorship and training
- Networking events
- Intern perks:
- Competitive compensation
- Company paid holidays
- Healthy meals and snacks provided for non-remote employees
- We’re Integrated
- Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
- We’re Funded
- GM, Honda, Microsoft, T. Rowe Price & Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.
- We’re Independent
- We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.
- We’re Safety Conscious
- We integrate #staysafe, our top priority at Cruise, into our everyday work. Through our Safety Management System, every Cruiser is asked to do their part by reporting any potential issues or hazards they observe and making continuous improvements. You’ll be able to contribute to safety at Cruise, no matter your job function or title.
Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.
Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email HR@getcruise.com.
We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.
Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.
Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.
