Requirements

Candidates should possess a Master’s or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They must have an in-depth understanding of common Machine Learning and Deep Learning algorithms, and experience designing, training, and analyzing neural networks for applications such as motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking. Strong track record of tackling less well-defined problems and efficient execution to deliver successful outcomes are required, along with experience working with large datasets and deriving insights from data. Advanced knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods, is also necessary.