Senior Machine Learning Engineer - Prediction

Motional•Boston, MA

14d•Remote

About The Position

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. 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 portions of our training stack dedicated to dataset generation and evaluation

Requirements

In-depth understanding of common Machine Learning and Deep Learning algorithms
Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods
Experience with PyTorch or other python-based deep learning frameworks
Experience working with large data sets and deriving insights from data
Experience mentoring and collaborating with others
Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience

Nice To Haves

Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
PhD in machine learning, computer vision, or robotics vision
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

Responsibilities

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 portions of our training stack dedicated to dataset generation and evaluation