Senior/Staff Machine Learning Engineer, 3D Simulation

Foster City, CA / Seattle, WASoftware – Software Systems /Full-time /HybridThe 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to accelerate autonomy by blurring the line between simulation and reality. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions using reconstruction and generative models. You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our robotics stack. In this role, you will: Research, implement, and optimize state of the art machine learning approaches to improve 3D simulation variation and fidelityCollaborate with ML Researchers, Technical Artists and Simulation engineers to bring new ML techniques to our production simulatorTrain 4D generative and world models for simulating rare scenariosBuild scalable, useable cloud pipelines for machine learning solutions in 3D simulationImprove rendering and tooling for generating realistic data at scaleQualifications:7+ years of experience with Python/C++ programming and algorithm designExperience building and extending radiance field ML modelsExperience with generative models for 3D or video contentPublications or production experience in human-centric 3D vision, 3D reconstruction, or style transferStrong mathematical skills and understanding of probabilistic techniquesBonus Qualifications:Experience automating 3D content pipelines using applications like Houdini, Maya, or BlenderExperience in distributed systems and cloud computing platformsExperience in generative camera, lidar, radar, or LWIR$225,000 - $320,000 a yearBase Salary RangeThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.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.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.Follow us on LinkedInAccommodationsIf you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.