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.

About the team:

 

The ML Data Shop team is responsible for building the platform for data search/mining, labeling and dataset generation that can reliably handle the petabyte-scale data critical to improving our AV stack performance.

 

About the role:

 

The ML Data Shop team is looking for a Senior Engineering Manager to support the labeling team in delivering a labeling platform that produces high quality labels at low cost and on time.

 

What you’ll be doing: 

• Work with labeling customers to understand their needs

• Drive and communicate both long and short term visions from those needs

• Translate the visions into goals, plans and drive execution

• Hire and support other world class manager and engineers

• Leverage the state of the art in deep learning to solve challenging large scale real world robotics problems

• Work with teams across Cruise to foster a collaborative culture of quality and safety

• Embody Cruise values and behaviors: Stay Safe, Own It, Stay Focused, Seek Truth, Work Together, Be Humble

 

What we are looking for: 

• Hired and supported team of 15+ engineers and managers

• 6+ years experience supporting and growing high performance teams

• Expertise in large scale data labeling, auto labeling or related machine learning spaces.

• Expertise in building and maintaining ML pipelines at scale

• Startup mentality - openness to dealing with unknown unknowns, wearing many hats, and making effective prioritization decisions

• Passionate about self-driving technology and its potential impact on the world

• Strategic, collaborative and execution-focused

 

Bonus points!

• Built infrastructure to train and/or leverage VLM and LLM

• Built complex UI maximizing user efficiency

• Applied active learning techniques for production systems

• MS or Phd in Computer Vision, Natural Language, Machine Learning or a related field

 

The salary range for this position is $208,400 - $306,500. 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