Principal Machine Learning Engineer
7 days ago
- The Machine Learning Motion Planning team specializes in the fusion of Machine Learning and Classical Methods, researches and develops new heuristic and deep learning approaches, and builds deep neural networks, algorithms, and software to make an impact across navigation, behavior, route planning, as well as trajectory optimization, numerical optimization, and model predictive control.
- Motional's Machine Learning team has produced groundbreaking advancements in the autonomous vehicle industry, including nuScenes ( PointPillars ( and PointPainting ( You'll Do:Lead the effort of cutting-edge motion planning systems with Machine Learning and optimization-based methods.
- Lead and develop a variety of algorithms for planning for autonomous driving, including but not limited to search-based methods, sampling-based methods, optimization-based methods, linear-temporal logic, and decision-making under uncertainty.
- Interface with perception and prediction components upstream and trajectory optimization and tracking & control components downstream.
- Deploy solutions directly to an autonomous vehicle and analyze their impact.
- What You'll Bring:Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field.
- Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet.
- Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives.
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