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Motional is looking for engineers to help make self-driving vehicles a reality and create positive social impact by working on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for their robotaxi using the latest deep neural networks.

Requirements

• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods
• Experience with PyTorch or other python-based deep learning frameworks
• Experience working with large data sets and deriving insights from data
• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Strong programming skills in C++ and/or CUDA programming

Responsibilities

• Designing and executing high value experiments based on collaborative input from other machine learning engineers
• Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities
• Timely release of major model updates, including analysis of both off-line and on-road evaluation data
• Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature
• Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation
• training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models

Other

• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Experience mentoring and collaborating with others
• Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• Experience working on autonomous vehicles or related fields
• Experience in deploying models into real-world environments