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.
The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment. This includes working on a variety of really exciting problems such as:
Building a globally consistent prediction of what all different nearby agents (like other cars, buses, animals, pedestrians) are going to in the next few seconds Generating safe, comfortable and feasible trajectories to navigate dynamic urban environments Scoring and selecting the optimal trajectory, optimizing across many dimensions such as safety, comfort and customer experience.
The Behaviors teams work closely with our Perception partners to get data from a variety of sensors, with rich attributes, simulation data, high-fidelity maps, etc, all of which is necessary to build the above technologies. We also collaborate with Robotics and Controls partners to enable the car to follow the planned path accurately.
The Senior Staff Machine Learning Engineer is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
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
Ensure better engineering best practices are adopted and followed and the quality of the product offerings are at a high bar
Drive long-term planning and establish scalable processes for execution.
Work with teams across Cruise to foster a collaborative culture of testing, safety, and documentation
Pursue transformative technologies that enable us to scale and bend the cost curve while driving significant change for engineering productivity
Serve as an embodiment of our values
Help define, build, and embody Cruise engineering culture and principles
Embody Cruise behaviors: Stay Safe, Own It, Stay Focused, Seek Truth, Work Together, Be Humble
BS, MS, or PhD, in CS/CE/EE, or equivalent industry experience
Experience in SOTA deep learning techniques, e.g. training LLM/ foundational models and/or other large foundational models
Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
Extensive experience with machine learning and classification
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
Attention to detail and a passion for truth
A track record of efficiently solving complex problems collaboratively on larger teams
Startup mentality - openness to dealing with unknown unknowns and wearing many hats
Strong expertise in writing production quality code and setting standards for code quality across engineering teams
Experience in driving technical strategy and vision for engineering teams and organizations
Leadership experience for planning and execution of cross-functional initiatives and projects
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 $183,600 - $270,000. 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.
Our benefits are here to support the whole you:
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, age, 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 [email protected].
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. Know Your Rights: Workplace Discrimination is Illegal
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.
Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.
No Application Deadline
