We're the driverless car company.

We believe in improving people’s lives by making transportation safer, more accessible, and more convenient. We’re building the world’s most advanced software to fuel the driverless cars that safely connect people to the places, things, and experiences they care about.

We seek and embrace diversity in all of its forms. We continuously push ourselves to think differently and take ownership wherever it's needed. This is a place for dreamers and doers to succeed. If you share our passion for achieving what some say is impossible, join us.

About the role:

The Machine Learning Platform team builds and supports the essential tools and frameworks for every machine learning engineer at Cruise. Our goal is to greatly accelerate the development cycle of machine learning models across the whole company, empowering machine learning engineers to focus on improving the car’s safety and performance, instead of worrying about their infrastructure. Our scope covers the whole lifecycle of machine learning at Cruise: data processing, model training and deployment to vehicles. We are driven by the success of our partner teams who rely on our work to build the most advanced driverless cars in the world.

Day-to-day responsibilities include:

  • Design and build user interfaces that help Machine Learning Engineers explore datasets, track experiments, visualize metrics and deploy trained models. Champion frontend engineering excellence by continuously improving codebases and design processes.
  • Own frontend projects from start to finish and be responsible for major frontend technical decisions and tradeoffs. Effectively participate in team’s planning, code reviews and frontend design discussions.
  • Consider the effects of projects across multiple teams and proactively manage conflicts. Work closely with partner teams to ensure they are benefiting from the systems we built.
  • Conduct frontend technical interviews with well-calibrated standards and play an essential role in frontend recruiting activities. Effectively onboard and mentor junior frontend engineers and/or interns.

You should apply for this role if you have the following qualifications:

  • At least 3+ years of experience building modern frontends using React, Redux, WebGL and similar libraries.
  • Bachelor degree in Computer Science, or equivalent real-world experience.
  • Strong understanding of JavaScript, ES6+, and dynamic frontend fundamentals.
  • Experience working with backend REST APIs and websockets.
  • Passionate about self-driving technology and its potential impact on the world.

Bonus points!

  • Experience building interactive tools that are core to people’s daily work.
  • Experience with UX of data visualization and dashboards.
  • Experience working with UX designers, ML Engineers or Data Scientists.

Perks of being a Cruiser:

While doing meaningful work is the best perk of all, we also offer the following programs and benefits to support the extraordinary humans who serve as the backbone in making our robot cars go:

  • The opportunity to solve difficult problems that have immediate and valuable real-world applications
  • Competitive salary and benefits including 401k Cruise matching program to help you meet your long-term financial goals
  • Medical / dental / vision, AD+D and Life
  • Paid parental leave so you can spend time with the newest addition(s) to your family’s fleet
  • Health and Wellness reimbursement
  • Flexible vacation and 10 paid company holidays
  • State of the art equipment for your workstation
  • Healthy lunch, snacks, dinner

Take a glimpse through the lens of a Cruiser on our LinkedIn Page

GM Cruise LLC provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, GM Cruise LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Pursuant to applicable laws, we will consider for employment qualified applicants with arrest and conviction records. And if you believe that you will need any type of accommodation, please let us know.

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