Machine Learning Engineer, Tracking

Staff Machine Learning Engineer (Tracking Team)

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.

• 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 Tensor Flow, 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, 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.

The salary range for this position is $183,. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

• 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.
• Cruise Flex, our location-flexible work policy. (Learn more about Cruise Flex).

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

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.