Motional is looking for proven leaders and technical experts to develop ML models that learn how different agents navigate complex real-world traffic scenarios for their Level 4 autonomous driving technology.
Requirements
Experience with deep learning frameworks such as TensorFlow or PyTorch
Fluency in Python, including standard scientific computing libraries
Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
Experience with state of the art generative AI, and/or reinforcement learning, paradigms
Strong programming skills in C++ and/or CUDA programming
Responsibilities
Define and execute motion planning and prediction projects that improve our self-driving vehicles’ capability to safely, comfortably and legally navigate complex traffic scenarios
Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
Productionize and deploy solutions onto autonomous vehicle fleets
Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products’ on-road performance
Communicate strategies, progress and challenges to executive leadership
Other
Proven leadership skills at executing large, complex technical initiatives
Extensive experience managing and leading engineers
Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
Excellent communication and interpersonal skills
Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
