
Driving the future of autonomous mobility safely
Motional, headquartered in Boston, Massachusetts, is a leader in autonomous vehicle technology, specializing in driverless cars and mobility solutions. The company has partnered with major players like Lyft and has conducted extensive testing in cities such as Las Vegas and Boston. With over 1,000 e...
Motional offers competitive salaries, equity options, generous PTO, comprehensive health benefits, and a flexible remote work policy to support work-l...
Motional fosters a culture of innovation and safety, emphasizing collaboration among engineers and researchers to push the boundaries of autonomous te...

Motional • Remote U.S.
Motional is seeking a Senior Machine Learning Engineer to develop key features for their autonomous driving platform. You'll apply machine learning to prediction, planning, and control problems, requiring deep knowledge in the field. This role demands 15+ years of experience in building ML systems for autonomous vehicles.
You have 15+ years of proven experience building machine learning systems for autonomous vehicles or similar robotics applications — your expertise in this domain has equipped you with a deep understanding of the challenges and innovations in the field. You possess a BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields, or equivalent experience that showcases your technical prowess.
Your hands-on experience with machine learning is complemented by a deep understanding of large language models (LLM) and transformers — you are well-versed in the latest advancements and can leverage them to enhance autonomous driving technologies. You have a strong background in developing large-scale production ML systems and deploying them effectively, ensuring they meet real-world demands.
You excel in research and have a track record of innovation — your leadership skills shine as you design, run, and analyze experiments to evaluate the efficiency of solutions on real-world data. Your ability to communicate and collaborate with multi-functional teams is a key asset, allowing you to bridge the gap between machine learning and system software engineering.
A deep understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable — these skills will enable you to contribute significantly to the development of Motional’s autonomous driving platform. Your analytical skills are top-notch, allowing you to dissect complex problems and devise effective solutions.
In this role, you will research, implement, and evaluate deep-learning-based methods for prediction and planning for Motional’s Autonomous Vehicle products — your contributions will directly impact the efficiency and effectiveness of our autonomous driving capabilities. You will lead the design and execution of experiments, analyzing results to refine our approaches and ensure they are grounded in real-world data.
You will partner closely with system software engineering specialists to ship industrial-strength ML models — your collaborative spirit will foster a productive environment where innovative solutions can thrive. As you communicate findings and insights with multi-functional teams, you will play a crucial role in aligning technical developments with broader company goals.
Motional is committed to creating an inclusive environment for all employees — we celebrate diversity and encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work on cutting-edge technology that is shaping the future of autonomous driving, contributing to a mission that has a significant impact on transportation.
Join us in our journey to build the next generation of machine learning-based planning solutions — your expertise will be valued, and you will have the chance to innovate and lead in a rapidly evolving field. We offer a supportive culture that prioritizes professional growth and collaboration, ensuring you have the resources and environment to succeed.
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