Software Engineer - Machine Learning (Behaviors)

On our Behaviors 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 positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. We are looking for engineers who are passionate about autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company. What You’ll Be Doing: You drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. Daily, you will: Prototype, evaluate, implement, and iterate on solutions Familiar with state of the art solutions and systems for autonomous vehicles Productionize and deploy solutions onto autonomous vehicle fleets Collaborate with team members to achieve project goals and milestones What We’re Looking For: Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience 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: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods Fluency in Python, including standard scientific computing libraries and Python bindings development experience Experience with PyTorch or other deep learning frameworks Experience working with large data sets and deriving insights from data Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome Experience working on autonomous vehicles, or related fields Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.) Bonus Points: PhD in machine learning, computer vision, or robotics vision Experience in deploying models into real-world environments Strong programming skills in C++ and/or CUDA programming Experience mentoring and collaborating with others