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 Staff Machine Learning Production Engineer, 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 maintain machine learning models optimization algorithms and pipelines for production systems
• Collaborate with performance team to identify opportunities to enhance ML models
• Implement and deploy ML models optimization at scale, ensuring performance and reliability
• Continuously monitor and improve the performance of ML models in production
• Stay up-to-date with the latest advancements in machine learning and acceleration

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience in the industry.
• Proven experience in developing and deploying machine learning models in a production environment
• Strong programming skills in Python, PyTorch, C++
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Excellent problem-solving and analytical abilities

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.

Why Cruise?

Our benefits are here to support the whole you:

• 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).

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. 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.