Senior ML Systems Engineer, ML Data Platform

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 Full-Stack Software Engineer to design and implement platforms that support data labeling to 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:

General:

• Passion for self-driving technology and its impact

• Drive for learning new technologies and expanding technical skill set

• Experience and proficiency shipping products end-to-end

• Technical communication/collaboration skills: technical writing

• Demonstrated ability to empathize with customer problems and deliver creative product solutions

Technical:

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

• 4+ years building web applications

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

• Experience writing production quality code in Golang or Python (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 understanding relational databases, data modeling, and API definition

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

Bonus points!

• Experience building data visualization products and supporting libraries such as three.js, d3, WebGL.

• 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

• Experience working closely with product managers, designers, and user experience researchers

• Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. PostgreSQL, BigQuery, BigTable)

• Experience deploying on the cloud with Kubernetes (or similar), experience with Google Cloud, AWS, Azure, or similar.

The salary range for this position is $130,900 - $192,500. 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.