Senior Machine Learning Engineer - ML Planner

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

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 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