Machine Learning Engineer - ML Planner

Motional-posted 20 days ago
Full-time • Entry Level
Remote • Boston, MA
1,001-5,000 employees
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Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-class ML engineers and research scientists to help make self-driving vehicles a safe, reliable, and transformative reality. Our team builds the intelligence responsible for understanding complex driving environments and generating safe and comfortable trajectories for our robotaxi fleet using cutting-edge deep learning and planning systems. We welcome fresh graduates who are passionate about robotics, machine learning, and autonomous systems — and eager to grow in a fast-moving, high-impact team. This opportunity can support remote work within the United States, with occasional travel. You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models.

  • Designing and training large models for predicting surrounding agents, AV behaviors, and end-to-end planning systems by 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
  • Maintaining a high-quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation
  • Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics.
  • In-depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer-based architectures, autoregressive decoder architectures etc.
  • Experience designing, training, and analyzing neural networks/transformer-based models for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, multi-agent predictions.
  • Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods
  • Knowledge or course experience of generative models such as VLM, VLA etc.
  • Experience with PyTorch or other Python-based deep learning frameworks
  • Experience working with large data sets, data curation, and augmentation.
  • Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ECCV, ICRA, IROS etc.)
  • Project or internship experience on VLM, VLA and other foundation models for robotics and self-driving.
  • PhD in machine learning, generative AI, computer vision, or robotics vision
  • Project experience working on autonomous vehicles or related fields
  • Experience in deploying models into real-world environments
  • Strong programming skills in C++ and/or CUDA programming
  • medical
  • dental
  • vision
  • 401k with a company match
  • health saving accounts
  • life insurance
  • pet insurance
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