Cruise
Senior Machine Learning Engineer II, Deployments Ops
Cruise, San Francisco, California, United States, 94199
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.About the Role
As a Senior ML Engineer II, Deployments Ops at Cruise LLC, you will have the unique opportunity to work on the world's most advanced self-driving vehicles. Your work will be instrumental in safely connecting people to the places, things, and experiences they care about. We are seeking a highly skilled engineer with a passion for machine learning and a proven track record of successfully optimizing inference for ML models.Responsibilities
Develop and optimize machine learning optimization and inference systems for ML models that drive self-driving vehiclesCollaborate with Autonomy, Performance systems, ML infrastructure teamsDesign and implement tools and algorithms for ML optimization and runtime systemsPerform rigorous testing and debugging to ensure flawless system performanceContinuously improve and optimize inference models and algorithmsRequirements
Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience considered.Strong experience in machine learning and ML accelerationProficiency in programming languages such as Python, PyTorch, Tensorflow, C++Excellent problem-solving and analytical skillsExcellent communication and collaboration skillsIf you are an engineer who consistently demonstrates exceptional skills in building world-class self-driving vehicles, we encourage you to apply for the Senior ML Systems Engineer II, Deployments Ops role at Cruise LLC. Join our ambitious team and contribute to the future of transportation.The salary range for this position is $139,400 - $205,000. 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.Why Cruise?
Our benefits are here to support the whole you:Competitive salary and benefitsMedical / dental / vision, Life and AD&DSubsidized mental health benefitsPaid time off and holidaysPaid parental, medical, family care, and military leave of absence401(k) Cruise matching programFertility benefitsDependent Care Flexible Spending AccountFlexible Spending Account & Health Saving AccountPerks Wallet program for benefits/perksPre-tax Commuter benefit plan for local employeesCruiseFlex, our location-flexible work policy.We’re Integrated
Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.We’re Funded
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.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.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 HR@getcruise.com.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
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As a Senior ML Engineer II, Deployments Ops at Cruise LLC, you will have the unique opportunity to work on the world's most advanced self-driving vehicles. Your work will be instrumental in safely connecting people to the places, things, and experiences they care about. We are seeking a highly skilled engineer with a passion for machine learning and a proven track record of successfully optimizing inference for ML models.Responsibilities
Develop and optimize machine learning optimization and inference systems for ML models that drive self-driving vehiclesCollaborate with Autonomy, Performance systems, ML infrastructure teamsDesign and implement tools and algorithms for ML optimization and runtime systemsPerform rigorous testing and debugging to ensure flawless system performanceContinuously improve and optimize inference models and algorithmsRequirements
Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience considered.Strong experience in machine learning and ML accelerationProficiency in programming languages such as Python, PyTorch, Tensorflow, C++Excellent problem-solving and analytical skillsExcellent communication and collaboration skillsIf you are an engineer who consistently demonstrates exceptional skills in building world-class self-driving vehicles, we encourage you to apply for the Senior ML Systems Engineer II, Deployments Ops role at Cruise LLC. Join our ambitious team and contribute to the future of transportation.The salary range for this position is $139,400 - $205,000. 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.Why Cruise?
Our benefits are here to support the whole you:Competitive salary and benefitsMedical / dental / vision, Life and AD&DSubsidized mental health benefitsPaid time off and holidaysPaid parental, medical, family care, and military leave of absence401(k) Cruise matching programFertility benefitsDependent Care Flexible Spending AccountFlexible Spending Account & Health Saving AccountPerks Wallet program for benefits/perksPre-tax Commuter benefit plan for local employeesCruiseFlex, our location-flexible work policy.We’re Integrated
Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.We’re Funded
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.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.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 HR@getcruise.com.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
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