Staff Machine Learning Engineer, Cruise

• PhD / MS degree in computer vision, machine learning or a related field; alternatively equivalent years of industry experience solving ML problems which do not have readily-available solutions
• Track record of driving applied deep learning projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization
• Track record of cross organization impact
• Strong programming skills in Python and/or C++
• Extensive experience with ML frameworks such as Tensorflow, Caffe, or PyTorch
• Excellent mathematical and physical reasoning skills, especially with probability
• Strong verbal and written communication skills
• Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes over time without major disruptions
• Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain
• Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need

Desirable

• The Staff Machine Learning Engineer is a versatile role that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads related to Perception and Object Tracking
• The Tracking team is responsible for outputting a list of all the people, bikes, vehicles, and obstacles near the Cruise car, as well as a complete description of each agent
• Explore, prototype, validate, and iterate new algorithms and strategies
• Drive efforts to optimize, supervise and refine on-road performance for models in production
• Be considered one of the technical leaders of the department who guides current and future technology choices
• Have a deep understanding of the business and operational impact for different technology tradeoffs, and be able to balance effectively based on the company’s need
• Enable other engineers on the team to be more effective through design and code that is easy to extend and contribute into
• Be capable of influencing others and building consensus even over contentious technical debates