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 Role:  

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.

Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there's an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.

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, join us.

We are looking for a talented Senior Full-Stack Engineer to design and implement frontend technologies to build and manage one of the largest labeled datasets in the self-driving industry.

Our Machine Learning Infrastructure Organization (MLI) builds the essential tools and frameworks used by every machine learning engineer at Cruise. MLI’s goal is to greatly accelerate the development cycle of machine learning models across the whole company, empowering machine learning engineers to focus on improving the car’s safety and performance, instead of worrying about their infrastructure. Our scope covers the whole lifecycle of machine learning at Cruise: feature processing, model training and deployment to vehicles. We care about the performance, ease of use, and reliability of our products. We are driven by the success of our partner teams who rely on our work to build the most advanced driverless cars in the world.

What you’ll be doing: 

• Work with Product Managers and Product Designers to design and implement web-based tools for annotating multidimensional, multimodal time series data and understand machine learning model performance
• Build automation that surfaces insights on how machine learning engineers can improve model performance
• Build a platform that is intuitive to use and new features that are easy to learn.
• Work closely with machine learning engineers to enable R&D efforts and improve existing systems.
• Drive best practices in our team and code bases: testing, software design/architecture for component reuse, driving changes in the tech stack towards quality and productivity
  

What you must have:

General:

• Passion for self-driving technology and its impact
• Experience and proficiency shipping products end-to-end
• Technical communication/collaboration skills: delegation, technical writing, driving alignment
• Demonstrated ability to empathize with customer problems and deliver creative product solutions

Technical:

• At least 4+ years building web applications
• Strong understanding relational databases, data modeling, and API definition
• Experience building modern frontend applications using React, Redux, Angular, Lit or similar technologies
• Experience with scripting languages such as Python
• Experience building, deploying, and operating high availability services
• Experience managing container-based workloads using Kubernetes or other orchestration software
• Experience with a major cloud provider such as Google Cloud, AWS, or Azure
• Bachelor degree in Computer Science, or equivalent real-world experience

Bonus points! 

• Experience building interactive tools that are core to people's daily work
• Experience building data visualization products and supporting libraries such as three.js, d3, WebGL
• Experience working with Docker d