Senior Machine Learning Engineer - ML Planner
AI summary of the role
Senior ML Engineer on the Behaviors team, responsible for training, evaluation, and deployment of ML-based scene understanding, behavior prediction, and planning models for Motional's Level 4 robotaxi.
What you’ll do
- Design and execute high-value experiments based on collaborative input from other ML engineers
- Prototype and implement continuously improving metrics to evaluate behavioral model performance across scenarios
- Timely release of major model updates with analysis of off-line and on-road evaluation data
- Stay current with industry trends and propose new architectures based on published literature
What you’ll bring
- In-depth understanding of common ML and deep learning algorithms
- Experience designing, training, and analyzing neural networks for motion planning, object detection, sensor fusion, motion prediction, or multi-object tracking
- Advanced knowledge of software engineering principles (design, source control, build processes, code reviews, testing)
- Experience with PyTorch or other Python-based deep learning frameworks
Technologies
PyTorch · deep neural networks · motion planning · object detection · sensor fusion · motion prediction · multi-object tracking · C++ · CUDA
About Motional
Builds and operates Level 4 robotaxis (Hyundai IONIQ 5) for commercial ride-hailing via Uber, using an AI/LDM-first autonomy stack; Hyundai majority-owned.
Private Late · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company. What You’ll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include: Designing and executing high value experiments based on collaborative input from other machine learning engineers
More from the job description
On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company. What You’ll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include: Designing and 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 based on published literature Maintaining a high quality training and evaluation code-base, including
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