Senior Machine Learning Engineer II, Machine Learning Infrastructure
Cruise
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.
We’re Cruise, the self-driving ride-hailing service.
We are building the world’s most advanced autonomous 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.
At Cruise, our engineers have opportunities to grow and develop while learning from leaders at the cutting-edge of their fields. With a culture of internal mobility, there's opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world starting in our cities, join us.
About the team:
The ML Data Shop team is responsible for building the data platform for Cruise AI, where we build the platform to efficiently search for long tail and impactful on-road scenarios to improve our autonomous vehicles. Our work powers data discovery, labeling and featurization that can reliably scale to serve the petabyte-scale data requirements of Perception and Behavior models. Engineers on this team support self-serving data mining, featurization and labeling platforms which serve as a critical drive to improve the AV stack performance.
About the role:
The ML Data Shop team is looking for a Senior Software Engineer to design and implement platforms that support data search, labeling and dataset management that accelerate the AV model development.
What you’ll be doing:
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Use the latest cloud technologies to design, implement, and test scalable distributed data systems. Champion engineering excellence by continuously improving systems and processes.
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Build automation that surfaces insights on how machine learning engineers can improve workflow efficiency.
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Work closely with machine learning engineers to enable cutting-edge R&D efforts and improve existing systems.
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Own technical projects from start to finish. Effectively participate in team’s planning, code reviews and design discussions
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Work together with partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements
What we are looking for:
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BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience
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Solid understanding of modern deep learning and computer vision concepts, model architectures, algorithms and techniques.
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Experience writing high quality and scalable code in Golang, TypeScript, or Python (or similar)
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Experience building scalable infrastructure on the cloud with Python, Java, or Golang (or similar)
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Experience with SQL, Bigtable, BigQuery, Apache Beam or other data processing tools
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Experience working on computer vision, machine learning or related projects from ideation to completion using PyTorch (or similar)
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Experience building tools that are core to a machine learning engineer’s daily work
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Strong computer science fundamentals in object oriented programming, data structures, algorithm design, best practices, and complexity analysis.
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Experience with Google Cloud, AWS, Azure, or similar
Bonus points!
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Experience working on projects using data centric AI, active learning techniques
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Experience with autonomous vehicle technology
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Experience working closely with product managers, designers, and user experience researchers
The salary range for this position is $144,800 - 212,800. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, restricted stock units, and benefits. These ranges are subject to change.
Why Cruise?
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Our benefits are here to support the whole you:
- Competitive salary and benefits
- 401(k) Cruise matching program
- Medical / dental / vision, AD+D and Life
- One Medical membership
- Subsidized mental health benefits
- Flexible vacation and company paid holidays
- Healthy meals and snacks provided for non-remote employees
- Paid parental, jury duty, bereavement, family care, and medical leave
- Fertility Benefits
- Dependent Care Flexible Spending Account, subsidized by Cruise
- Flexible Spending Account
- Monthly wellness stipend
- Pre-tax Commuter Benefit Plan for non-remote employees
- CruiseFlex, a working policy for US-Based Cruisers, lets you and your manager find the working style that’s best for you, whether it’s primarily in-person, primarily at home, or a combination of home and in-office time. - learn more about CruiseFlex here
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We’re Integrated
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Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.
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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.
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We’re Independent
- We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.
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We’re Vested
- You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow. We offer a new kind of equity program called Recurring Liquidity Opportunity (RLO), which combines IPO-like liquidity with the stability of remaining private - learn more about RLO here
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We’re Safety Conscious
- We integrate #staysafe, our top priority at Cruise, into our everyday work. Through our Safety Management System, every Cruiser is asked to do their part by reporting any potential issues or hazards they observe and making continuous improvements. You’ll be able to contribute to safety at Cruise, no matter your job function or title.
