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.

At Cruise, 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. We care about performance, ease of use and reliability of our products. Our products enable fast, efficient and reliable model training, evaluation and online inference using flexible data sources relevant to Cruise AV and Cruise App. It runs on top of scalable and reliable compute (orchestration & substrate) systems.  

What you'll be doing :

• Design, implement and deploy platforms and tools to support machine learning models training/evaluation workflows at Cruise.

• Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs. Effectively participate in team’s planning, code reviews and 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 technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns.

What you must have:

• Strong coding in Python

• Experience with distributed training (PyTorch, Tensorflow, etc)

• Experience building tools for ML Engineers 

• Passionate about self-driving technology and its potential impact on the world

• BS, MS or PhD in CS, Math or equivalent real-world experience

• Can do attitude and willingness to code

Bonus points!

• Experience developing models in the past

• Experience scaling model performance optimization which work across many teams

• Experience with build systems (Bazel, Buck, Blaze or Cmake)

The salary range for this position is $163,200 - 240,000. 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.

Why Cruise?

• Our benefits are here to support the whole you:
• Medical / dental / vision, AD+D and life insurance
• Subsidized mental health benefits
• One Medical membership
• Flexible Spending Account 
• Monthly wellness stipend
• 401(k) match 
• Paid time off: vacation, sick, public health emergency, jury duty, bereavement and company holidays. 
• Paid parental, family care and medical leave
• Family care benefits: fertility benefits, Dependent Care Flexible Spending Account (subsidized by Cruise).
• Non-remote employees: Pre-tax Commuter Benefit Plan, healthy meals and snacks 
• CruiseFlex - a working policy for US-Based Cruisers that lets you and your manager find what working style is best for you, whether it’s primarily in-person, primarily at home or a combination of home and in-office time.

• 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.