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.

Prediction Teams at Cruise are responsible for developing machine learning models to create a probabilistic representation of the world surrounding our vehicles to safely and effectively maneuver them around cities. Moreover, the team you build and grow will solve exciting challenges around what different agents (like other cars, buses, animals, pedestrians) are going to do in the next few seconds, their future paths, and how all those elements and more affect one another. You will work closely with our perception and robotics team to get the data you need from a variety of sensors, simulation data, and high-fidelity maps.

The Senior Staff Machine Learning Engineer is a versatile role in Prediction that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.

What you’ll be doing:

• From a research perspective, exploring, prototyping, validating, and iterating new algorithms
• On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production
• Considered one of the technical leaders of the department who guides current and future technology choices
• Have a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company’s need
• Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into
• Capable of influencing others and building consensus even over contentious technical debates

What you must have:

• BS, MS, or higher degree, in CS/CE/EE, or equivalent industry experience
• 8+ years of experience in machine learning and classification
• Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
• Strong programming skills in Python or C++
• Excellent mathematical reasoning skills, especially with probability
• Passionate about self driving car technology and its impact on the world!
• Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
• Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.
• Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.

Bonus points!

• PhD in machine learning or computer science
• Experience with ROS, OpenCV, Gazebo, or PCL
• Experience with CUDA
• Track record in deploying prediction models into real world environments
• Experience with autonomous driving technologies

The salary range for this position is $234,700 - 345,000. 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