Principal Machine Learning Engineer

Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Principal ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects. Responsibilities Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time. Build multi-modal foundation models for on-vehicle and offline applications. Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems. Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field. Provide technical mentorship to the broader group of ML developers at Zoox. Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments. Qualifications BS, MS, or PhD degree in computer science or related field. Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines. Experience with modern computer vision techniques. Strong mathematical skills and understanding of probabilistic techniques. Fluency in C++ or Fluency in Python with a basic understanding of C++. Extensive experience with programming and algorithm design-Strong mathematics skills. Bonus Qualifications Publications in your field (CVPR, ICCV, RSS, ICRA preferred). Experience with autonomous robots. Experience with realtime sensor fusion (e.g. LiDAR, camera, radar). Experience with novel pipelines and architectures for convolutional neural nets. Experience with 3D data and representations (pointclouds, meshes, etc.). Compensation There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $296,000-$451,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. #J-18808-Ljbffr