Requirements

Candidates should possess a Master's or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, or equivalent industry experience. They must have a strong leadership ability in executing large, complex technical initiatives, an in-depth understanding of common Machine Learning and Deep Learning algorithms, and experience with designing, training, and analyzing neural networks for applications such as object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception. Furthermore, candidates should be fluent in Python, including standard scientific computing libraries and Python bindings development, and have a proven track record of developing and deploying perception systems for autonomous vehicles or robotics.