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.
As a Senior ML Engineer II, Foundational Tooling at Cruise, you will have the unique opportunity to work on the world's most advanced self-driving vehicles. Your work will be instrumental in building ML infrastructure that leads to building models running in Cruise AV that safely connect people to the places, things, and experiences they care about. We are seeking a highly skilled engineer with a passion for deep learning infrastructure and a proven track record of successfully building large scale model optimization infrastructure for deep learning models.
Develop machine learning optimization algorithms (limited precision quantization, pruning algorithms) and systems for ML models that drive self-driving vehicles.
Develop large scale model optimization infrastructure (Neural Architecture Search, Fine-tuning Foundational Models, Distillation) that scales for large foundational models in a cost-effective manner.
Bring SOTA workflows and algorithms to Cruise by vendoring open source libraries and integrating them to end-to-end model development workflow.
Build a scalable training and deployment infrastructure where architecture selection and model optimization techniques can be seamlessly integrated and made usable by Machine Learning Engineers at Cruise.
Collaborate with Autonomy, Performance systems, ML infrastructure teams.
Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience considered.
Strong experience in deep learning and (preferably) foundational models.
Strong experience in building scalable tooling and infrastructure for training and deployment of foundational models.
Proficiency in programming languages such as Python, PyTorch, C++
Excellent problem-solving and analytical skills
Excellent communication and collaboration skills
The salary range for this position is $161,200 - $237,000. 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.
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.
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