Staff Machine Learning Engineer, Tracking

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.

Description

The Staff Machine Learning Engineer is a versatile role that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads related to Perception and Object Tracking. The Tracking team is responsible for outputting a list of all the people, bikes, vehicles, and obstacles near the Cruise car, as well as a complete description of each agent. On a day-to-day basis, you will:

• Explore, prototype, validate, and iterate new algorithms and strategies
• Drive efforts to optimize, supervise and refine on-road performance for models in production
• Be 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 be able to balance effectively based on the company’s need
• Enable other engineers on the team to be more effective through design and code that is easy to extend and contribute into
• Be capable of influencing others and building consensus even over contentious technical debates

• PhD / MS degree in computer vision, machine learning or a related field; alternatively equivalent years of industry experience solving ML problems which do not have readily-available solutions
• Track record of driving applied deep learning projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
• Track record of cross organization impact
• Strong programming skills in Python and/or C++
• Extensive experience with ML frameworks such as Tensorflow, Caffe, or PyTorch
• Excellent mathematical and physical reasoning skills, especially with probability
• Strong verbal and written communication skills
• Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes over time 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.

• PhD in machine learning, computer vision, or robotics
• Experience in deploying perception algorithms and models into real-world environments
• Experience with object tracking, especially multi-sensor and/or multi-object tracking

• Competitive salary and benefits
• Medical / dental / vision, Life and AD&D
• Subsidized mental health benefits
• Paid time off and holidays
• Paid parental, medical, family care, and military leave of absence
• 401(k) Cruise matching program
• Fertility benefits
• Dependent Care Flexible Spending Account
• Flexible Spending Account & Health Saving Account
• Perks Wallet program for benefits/perks
• Pre-tax Commuter benefit plan for local employees
• CruiseFlex, our location-flexible work policy. (Learn more about CruiseFlex).

• Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

• GM, Honda, Microsoft, T. Rowe Price, and 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.