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Senior Machine Learning Engineer - Prediction

MotionalBoston, Massachusetts, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
Remote Full-time $146K/yr - $225K/yr

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Experience Level

Senior

Qualifications

Candidate Profile:Deep understanding of standard Machine Learning and Deep Learning algorithms. Proven experience in designing, training, and analyzing neural networks in areas such as motion planning, object detection, sensor fusion, motion prediction, and multi-object tracking. Demonstrated ability to effectively tackle ambiguous problems and deliver successful outcomes efficiently. Strong grasp of software engineering principles, including design, source control management, build processes, code reviews, and testing methodologies. Practical experience with PyTorch or similar Python-based deep learning frameworks. Experience in working with large datasets and extracting actionable insights. A history of mentoring and collaborating effectively with others.

About the job

Join Our Team: At Motional, our mission is to revolutionize transportation through the development of autonomous vehicles. As part of our cutting-edge team, you will collaborate with top-tier machine learning engineers and research scientists to bring self-driving technology to life, making a positive impact on society. We focus on creating advanced tech stacks that analyze complex driving environments and generate safe, comfortable trajectories for our robotaxi services using state-of-the-art deep neural networks.

Your Role:

As a Senior Machine Learning Engineer specializing in prediction, you will play a pivotal role in training, evaluating, and deploying our machine learning models for scene understanding, behavior prediction, and planning. Your daily responsibilities will include:

  • Designing and conducting high-impact experiments through collaboration with fellow machine learning engineers.
  • Prototyping and enhancing metrics for assessing the performance of our behavioral models across various scenarios and capabilities.
  • Ensuring timely updates of major models, including detailed analysis of offline and on-road evaluation data.
  • Staying abreast of the latest industry trends, proposing innovative architectures and network designs based on current literature.
  • Maintaining a robust training and evaluation codebase, particularly focusing on dataset generation and evaluation.

About Motional

Motional is at the forefront of autonomous vehicle technology, dedicated to transforming how people move through innovative self-driving solutions. With a commitment to safety and efficiency, we are paving the way for a future where robotaxis are a staple of urban transportation.

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