The Behaviors Teams at Cruise are responsible for developing machine learning models to enable our AV to drive smoothly and safely around an urban environment. This includes working on a variety of really exciting problems such as:
Building a the AV decision making model that makes safe, comfortable, intelligent driving decisions by considering all different nearby agents (like other cars, buses, animals, pedestrians) are going to in the next few seconds Generating safe, comfortable and feasible trajectories to navigate dynamic urban environments Scoring and selecting the optimal trajectory, optimizing across many dimensions such as safety, comfort and customer experience.
The Behaviors teams work closely with our Perception partners to get data from a variety of sensors, with rich attributes, simulation data, high-fidelity maps, etc, all of which is necessary to build the above technologies. We also collaborate with Robotics and Controls partners to enable the car to follow the planned path accurately.
This is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
What you’ll be doing:
From a research perspective, exploring, prototyping, validating, and iterating new algorithms
On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production
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 able to balance effectively based on company’s need
Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into
Capable of influencing others and building consensus even over contentious technical debates
What you must have:
BS, MS, or higher degree, in CS/CE/EE, or equivalent industry experience
Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch
Extensive experience with machine learning and classification
Strong programming skills in Python or C++
Excellent mathematical reasoning skills, especially with probability
Passionate about self driving car technology and its impact on the world!
Bonus points!
PhD in machine learning or computer science
Experience with ROS, OpenCV, Gazebo, or PCL
Experience with CUDA
Track record in deploying prediction models into real world environments
Experience with autonomous driving technologies
The salary range for this position is $161,200 - $237,000. 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.
