Zoox
Software Engineer - Prediction & Behavior ML
Zoox, Foster City, California, United States, 94420
Zoox is looking for software engineers to help us build novel architectures for classifying and understanding the complex and dynamic environments in our cities. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing, validating, and deploying your algorithms.Our Prediction team’s role is to provide a probabilistic representation of the future state of the world; in particular, understanding what other vehicles, pedestrians, and cyclists will do next. We leverage both high quality sensor data and high level semantic information to produce data-driven models of the future. This representation is tightly integrated into our planning software to deliver a safe and smooth customer experience.In this role, you will:
Develop and apply distributed compute algorithms to efficiently analyze petabytes of urban driving dataDevelop the core metrics that measures performance for our ML modelsWork closely with ML engineers to develop backend metrics and frontend tools for analyzing errors and understanding improvements in our systemsCollaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environmentsQualifications
BS, MS, or PhD degree in computer science or related fieldExperience with training and deploying Deep Learning modelsExperience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelinesFluency in C++ or Fluency in Python with a basic understanding of C++Extensive experience with programming and algorithm design-Strong mathematics skillsBonus Qualifications
Extensive experience with programming and algorithm designAbility to create functional real-time systems that solve difficult prediction tasksExperience handling large data sets efficientlyStrong mathematical skills and understanding of probabilistic techniquesExperience with designing large scale scalable software architecturesUnderstanding of modern ML techniquesCompensationThere 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 $144,000 to $234,000. 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.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.AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.
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Develop and apply distributed compute algorithms to efficiently analyze petabytes of urban driving dataDevelop the core metrics that measures performance for our ML modelsWork closely with ML engineers to develop backend metrics and frontend tools for analyzing errors and understanding improvements in our systemsCollaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environmentsQualifications
BS, MS, or PhD degree in computer science or related fieldExperience with training and deploying Deep Learning modelsExperience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelinesFluency in C++ or Fluency in Python with a basic understanding of C++Extensive experience with programming and algorithm design-Strong mathematics skillsBonus Qualifications
Extensive experience with programming and algorithm designAbility to create functional real-time systems that solve difficult prediction tasksExperience handling large data sets efficientlyStrong mathematical skills and understanding of probabilistic techniquesExperience with designing large scale scalable software architecturesUnderstanding of modern ML techniquesCompensationThere 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 $144,000 to $234,000. 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.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.AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.
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