Machine Learning Engineer - Perception

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company. What You'll Be Doing: • Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data • Connect and drive business impact through technology solutions • Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system • Optimize perception algorithms for real-time performance on embedded hardware • Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems • Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems • Productionize and deploy solutions onto autonomous vehicle fleets • Derive good insight from large data sets from a variety of sources What We're Looking For: • Bachelor’s degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field, plus 3+ years of relevant experience; or • Master’s degree in one of the above fields (or equivalent industry experience), plus 1+ year of relevant experience; or • Ph.D. in one of the above fields, with research focused on perception or computer vision applicable to autonomous vehicles. • Experience designing, training, and analyzing neural networks for one or more perception applications, including object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception. • In-depth understanding of common Machine Learning and Deep Learning algorithms • Experience with deep learning frameworks such as TensorFlow or PyTorch • Fluency in Python, including standard scientific computing libraries and Python bindings development experience • Knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods • Excellent communication and interpersonal skills Preferred, but not required: • Strong programming skills in C++ and/or CUDA programming • Proven track record of developing and deploying perception systems for autonomous vehicles or robotics • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry • Experience with launching ML products from ideation • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.) • Experience in deploying models into real-world environments