Senior Frontend Software Engineer, Machine Learning Infrastructure

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 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.

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 Frontend 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: 

• Use the latest web technologies to design, implement, and test scalable and performant data systems and interfaces. Champion engineering excellence by continuously improving systems and processes.

• Build automation that surfaces insights on how machine learning engineers can improve workflow efficiency. 

• Work closely with machine learning engineers to enable cutting-edge R&D efforts and improve existing systems.

• Own technical projects from start to finish. Effectively participate in team’s planning, code reviews and design discussions

• Work together with partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements

What we are looking for: 

• BS, MS or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another relevant field; or equivalent real-world experience

• Experience writing high quality, scalable and performant code in TypeScript, React, Redux, WebGL (or similar)

• Experience deploying on the cloud with Kubernetes (or similar)

• Experience with A/B testing frameworks and telemetry systems

• Experience working with web interfaces using large amounts of data using Service Workers, Cache Storage, IndexedDB (or similar)

• Strong computer science fundamentals in object oriented programming, data structures, algorithm design, best practices, and complexity analysis.

• Experience with Google Cloud, AWS, Azure, or similar

Bonus points!

• Experience working on computer vision, machine learning or related projects from ideation to completion

• Experience working on projects using data centric AI, active learning techniques

• Experience with autonomous vehicle technology

• Experience building tools that are core to a machine learning engineer’s daily work

 

The salary range for this position is $144,800 - 212,800. Compensation will vary depending on location, job-relate