Scene Understanding Engineer The Perception Scene Understanding team at Zoox builds the high-performance reasoning engines that allow our autonomous vehicles to navigate complex urban environments. We translate sensor data and detected objects into deep semantic understanding, ensuring our robots make human-level decisions in real-time. We are seeking engineers passionate about the intersection of robotics and cutting-edge AI. In this role, you will develop next-generation algorithms and deploy production-grade software directly to our fleet. You will tackle the inherent unpredictability of urban driving-including road closures, occlusions, dynamic traffic controls, and abnormal traffic patterns-ensuring our vehicles remain resilient in the face of unexpected hazards. As an engineer on the Scene Understanding team, you will develop and deploy advanced machine learning models that interpret the robot's surroundings to identify hazards and enforce driving restrictions. Your work will be pivotal in resolving unstructured scenarios, ensuring safe navigation through complex or restricted zones. You will optimize models for real-time inference on our vehicle hardware and collaborate closely with teams-including Localization, Perception, Prediction, and Planning-to deliver a seamless, safe, and reliable experience for our riders. Responsibilities Develop machine learning algorithms for Bird's Eye View scene analysis and real-time hazard detection. Design and implement scene understanding solutions specifically for Zoox's unique bidirectional vehicle. Lead the end-to-end data strategy-including mining, auto-labeling, and dataset construction-to keep our ML models improving. Implement on-vehicle software for model inference and result post-processing that runs reliably in real-time. Use our large-scale data pipelines and infra to research, prototype, and deploy changes that directly improve how the vehicle handles complex road scenarios. Team up with Perception, Prediction, and Planning teams to integrate your signals into the final driving solution. Qualifications BS, MS, or PhD in Computer Science, Robotics, or a related field with 2+ years of industry experience training and deploying ML models. Experience with BEV (Bird's Eye View) models, segmentation, or 3D representations. Hands-on experience with the full lifecycle: dataset construction, training frameworks, and building metrics pipelines to evaluate performance. A strong mathematical foundation in linear algebra, calculus, and probability. Fluency in C++ and Python. Experience with PyTorch, TensorFlow, JAX. Bonus Qualifications Track record of designing novel neural network architectures or working with probabilistic outputs. Experience working on autonomous systems or integrating ML models into a robotics stack. Publications in top-tier conferences like CVPR, ICCV, ECCV, RSS, or ICRA. $179,000 - $245,000 a year Base Salary Range There 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. Benefits 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 Zoox Zoox 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. Accommodations If 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. 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.
04/02/2026
Full time
Scene Understanding Engineer The Perception Scene Understanding team at Zoox builds the high-performance reasoning engines that allow our autonomous vehicles to navigate complex urban environments. We translate sensor data and detected objects into deep semantic understanding, ensuring our robots make human-level decisions in real-time. We are seeking engineers passionate about the intersection of robotics and cutting-edge AI. In this role, you will develop next-generation algorithms and deploy production-grade software directly to our fleet. You will tackle the inherent unpredictability of urban driving-including road closures, occlusions, dynamic traffic controls, and abnormal traffic patterns-ensuring our vehicles remain resilient in the face of unexpected hazards. As an engineer on the Scene Understanding team, you will develop and deploy advanced machine learning models that interpret the robot's surroundings to identify hazards and enforce driving restrictions. Your work will be pivotal in resolving unstructured scenarios, ensuring safe navigation through complex or restricted zones. You will optimize models for real-time inference on our vehicle hardware and collaborate closely with teams-including Localization, Perception, Prediction, and Planning-to deliver a seamless, safe, and reliable experience for our riders. Responsibilities Develop machine learning algorithms for Bird's Eye View scene analysis and real-time hazard detection. Design and implement scene understanding solutions specifically for Zoox's unique bidirectional vehicle. Lead the end-to-end data strategy-including mining, auto-labeling, and dataset construction-to keep our ML models improving. Implement on-vehicle software for model inference and result post-processing that runs reliably in real-time. Use our large-scale data pipelines and infra to research, prototype, and deploy changes that directly improve how the vehicle handles complex road scenarios. Team up with Perception, Prediction, and Planning teams to integrate your signals into the final driving solution. Qualifications BS, MS, or PhD in Computer Science, Robotics, or a related field with 2+ years of industry experience training and deploying ML models. Experience with BEV (Bird's Eye View) models, segmentation, or 3D representations. Hands-on experience with the full lifecycle: dataset construction, training frameworks, and building metrics pipelines to evaluate performance. A strong mathematical foundation in linear algebra, calculus, and probability. Fluency in C++ and Python. Experience with PyTorch, TensorFlow, JAX. Bonus Qualifications Track record of designing novel neural network architectures or working with probabilistic outputs. Experience working on autonomous systems or integrating ML models into a robotics stack. Publications in top-tier conferences like CVPR, ICCV, ECCV, RSS, or ICRA. $179,000 - $245,000 a year Base Salary Range There 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. Benefits 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 Zoox Zoox 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. Accommodations If 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. 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.
Machine Learning Engineer - Perception Offline Driving Intelligence at Zoox Overview The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and devise a path of impact into our self driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine tune these models for off vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world class engineers and researchers, you'll leverage premium sensor data and cutting edge infrastructure to validate your algorithms in real world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. Responsibilities Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments Implement model architectures and sophisticated training techniques Build large, high quality datasets leveraging all inputs from our sensor stack and the overall large scale data we have at Zoox Drive end to end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision making pipeline Validate and optimize your solutions using real world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system Qualifications MS or PhD in Computer Science, Machine Learning, or related technical field Demonstrated experience training and deploying large language models (LLMs) Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects Experience training models with large scale data Bonus Qualifications Publications in top tier conferences (CVPR, ICCV, RSS, ICRA) Experience with autonomous robotics systems Compensation $179,000 - $245,000 a year Base Salary Range: There 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. Benefits 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 Zoox Zoox 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. Accommodations If you need an accommodation to participate in the application or interview process please reach out to 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. 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.
04/02/2026
Full time
Machine Learning Engineer - Perception Offline Driving Intelligence at Zoox Overview The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and devise a path of impact into our self driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine tune these models for off vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world class engineers and researchers, you'll leverage premium sensor data and cutting edge infrastructure to validate your algorithms in real world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. Responsibilities Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments Implement model architectures and sophisticated training techniques Build large, high quality datasets leveraging all inputs from our sensor stack and the overall large scale data we have at Zoox Drive end to end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision making pipeline Validate and optimize your solutions using real world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system Qualifications MS or PhD in Computer Science, Machine Learning, or related technical field Demonstrated experience training and deploying large language models (LLMs) Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects Experience training models with large scale data Bonus Qualifications Publications in top tier conferences (CVPR, ICCV, RSS, ICRA) Experience with autonomous robotics systems Compensation $179,000 - $245,000 a year Base Salary Range: There 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. Benefits 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 Zoox Zoox 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. Accommodations If you need an accommodation to participate in the application or interview process please reach out to 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. 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.
A leading technology company in Boston is seeking a Scene Understanding Engineer to develop machine learning algorithms that allow autonomous vehicles to navigate complex urban environments. You will lead the development of next-generation algorithms and deploy production-grade software to the vehicle fleet. This role requires expertise in C++, Python, and machine learning models, along with strong collaboration skills in a dynamic environment. The position offers a salary range of $179,000 - $245,000, alongside a comprehensive benefits package.
04/02/2026
Full time
A leading technology company in Boston is seeking a Scene Understanding Engineer to develop machine learning algorithms that allow autonomous vehicles to navigate complex urban environments. You will lead the development of next-generation algorithms and deploy production-grade software to the vehicle fleet. This role requires expertise in C++, Python, and machine learning models, along with strong collaboration skills in a dynamic environment. The position offers a salary range of $179,000 - $245,000, alongside a comprehensive benefits package.
Join to apply for the Machine Learning Engineer - Perception Offline Driving Intelligence role at Zoox Continue with Google Continue with Google Join to apply for the Machine Learning Engineer - Perception Offline Driving Intelligence role at Zoox The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. In This Role, You Will Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments Implement model architectures and sophisticated training techniques Build large high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox. Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities. Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline. Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system Qualifications MS or PhD in Computer Science, Machine Learning, or related technical field Demonstrated experience training and deploying large language models (LLMs) Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects Experience training models with large scale data Bonus Qualifications Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) Experience with autonomous robotics systems $180,000 - $256,000 a year Base Salary Range There 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.Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesAutomotive Referrals increase your chances of interviewing at Zoox by 2x Sign in to set job alerts for "Machine Learning Engineer" roles. Continue with Google Continue with Google Continue with Google Continue with Google Sunnyvale, CA $141,000 - $202,000 2 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Francisco, CA $130,000 - $230,000 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google AdsMachine Learning Engineer (I, II, or Sr.) Mountain View, CA $141,000.00 - $202,000.00 1 week ago Sunnyvale, CA $141,000.00 - $202,000.00 2 weeks ago Palo Alto, CA $150,000.00 - $220,000.00 3 weeks ago Machine Learning Engineer (I, II, or Sr.) Fremont, CA $166,000.00 - $244,000.00 2 weeks ago Data Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00 - $244,000.00 1 week ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00 - $202,000.00 1 week ago Software Engineer, AI Platform - New GradData Scientist III, Research, Search Ads Mountain View, CA $141,000.00 - $202,000.00 1 week ago San Francisco, CA $140,000.00 - $180,000.00 5 months ago San Francisco, CA $140,000.00 - $215,000.00 1 month ago San Francisco, CA $140,000 - $160,000 5 months ago Menlo Park, CA $180,000 - $200,000 4 weeks ago San Mateo, CA $140,000 - $210,000 3 weeks ago Sunnyvale, CA $141,000 - $202,000 1 week ago Staff Data Scientist, Research, Search Platforms Mountain View, CA $197,000 - $291,000 1 week ago San Francisco, CA $130,000 - $238,000 2 weeks ago Sunnyvale, CA $141,000 - $202,000 1 week ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Join to apply for the Machine Learning Engineer - Perception Offline Driving Intelligence role at Zoox Continue with Google Continue with Google Join to apply for the Machine Learning Engineer - Perception Offline Driving Intelligence role at Zoox The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments. As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system. In This Role, You Will Develop multimodal large language models that enhance our robotaxis' understanding of complex urban environments Implement model architectures and sophisticated training techniques Build large high quality datasets leveraging all the inputs from our sensor stack and the overall large scale data we have at Zoox. Drive end-to-end ML solutions from research to production, utilizing Zoox's extensive data pipelines and infrastructure to improve autonomous driving capabilities. Collaborate with perception, planning, safety, and systems teams to integrate your models into the vehicle's decision-making pipeline. Validate and optimize your solutions using real-world driving scenarios, directly contributing to the safety and reliability of Zoox's autonomous system Qualifications MS or PhD in Computer Science, Machine Learning, or related technical field Demonstrated experience training and deploying large language models (LLMs) Experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation Proficiency in Python and ML libraries (PyTorch, NumPy) demonstrated through professional or research projects Experience training models with large scale data Bonus Qualifications Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) Experience with autonomous robotics systems $180,000 - $256,000 a year Base Salary Range There 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.Seniority level Seniority levelNot Applicable Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesAutomotive Referrals increase your chances of interviewing at Zoox by 2x Sign in to set job alerts for "Machine Learning Engineer" roles. Continue with Google Continue with Google Continue with Google Continue with Google Sunnyvale, CA $141,000 - $202,000 2 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTubeStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Francisco, CA $130,000 - $230,000 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google AdsMachine Learning Engineer (I, II, or Sr.) Mountain View, CA $141,000.00 - $202,000.00 1 week ago Sunnyvale, CA $141,000.00 - $202,000.00 2 weeks ago Palo Alto, CA $150,000.00 - $220,000.00 3 weeks ago Machine Learning Engineer (I, II, or Sr.) Fremont, CA $166,000.00 - $244,000.00 2 weeks ago Data Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00 - $244,000.00 1 week ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00 - $202,000.00 1 week ago Software Engineer, AI Platform - New GradData Scientist III, Research, Search Ads Mountain View, CA $141,000.00 - $202,000.00 1 week ago San Francisco, CA $140,000.00 - $180,000.00 5 months ago San Francisco, CA $140,000.00 - $215,000.00 1 month ago San Francisco, CA $140,000 - $160,000 5 months ago Menlo Park, CA $180,000 - $200,000 4 weeks ago San Mateo, CA $140,000 - $210,000 3 weeks ago Sunnyvale, CA $141,000 - $202,000 1 week ago Staff Data Scientist, Research, Search Platforms Mountain View, CA $197,000 - $291,000 1 week ago San Francisco, CA $130,000 - $238,000 2 weeks ago Sunnyvale, CA $141,000 - $202,000 1 week ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Data Scientist - Perception Verification and Validation We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall perception stack and on end to end system behavior. In this role, you will Define key performance metrics that will help perception engineers measure the impact of new features on the perception stack and on end to end system behavior. Create and maintain datasets used to evaluate the perception stack and end to end driving performance. Analyze large scale metric results to identify patterns and insights about perception failure modes, then present results and insights to leadership. Design and implement statistical methods to quantify uncertainty in our performance and validation metrics. Qualifications Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field. Proficient in using data query languages (SQL and/or Spark/Scala) to build complex, efficient queries at scale and in Python to build production quality code. Basic experience with autonomous driving, safety critical systems, or computer vision systems. Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business. Background in statistical modeling and analysis, including experience making data driven decisions that connect point and uncertainty estimates to business impact. Bonus Qualifications Skilled at using AI tools to improve development efficiency and quality. Experience with experiment design and statistical comparisons (A/B testing, parametric/non parametric statistics, etc.). Experience analyzing geospatial data. Compensation $167,000 - $228,000 a year. Compensation includes salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign on bonus may be offered as part of the package. The salary range applies only to base pay; total compensation varies by location and level. Benefits Zoox offers a comprehensive benefits package that includes paid time off (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 Zoox Zoox 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, highly execution oriented team. Accommodations If you need an accommodation to participate in the application or interview process, please reach out to or your assigned recruiter. 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. 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.
04/02/2026
Full time
Data Scientist - Perception Verification and Validation We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall perception stack and on end to end system behavior. In this role, you will Define key performance metrics that will help perception engineers measure the impact of new features on the perception stack and on end to end system behavior. Create and maintain datasets used to evaluate the perception stack and end to end driving performance. Analyze large scale metric results to identify patterns and insights about perception failure modes, then present results and insights to leadership. Design and implement statistical methods to quantify uncertainty in our performance and validation metrics. Qualifications Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field. Proficient in using data query languages (SQL and/or Spark/Scala) to build complex, efficient queries at scale and in Python to build production quality code. Basic experience with autonomous driving, safety critical systems, or computer vision systems. Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business. Background in statistical modeling and analysis, including experience making data driven decisions that connect point and uncertainty estimates to business impact. Bonus Qualifications Skilled at using AI tools to improve development efficiency and quality. Experience with experiment design and statistical comparisons (A/B testing, parametric/non parametric statistics, etc.). Experience analyzing geospatial data. Compensation $167,000 - $228,000 a year. Compensation includes salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign on bonus may be offered as part of the package. The salary range applies only to base pay; total compensation varies by location and level. Benefits Zoox offers a comprehensive benefits package that includes paid time off (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 Zoox Zoox 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, highly execution oriented team. Accommodations If you need an accommodation to participate in the application or interview process, please reach out to or your assigned recruiter. 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. 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.
Overview Zoox is looking for an experienced Software Engineer to drive cost optimization and efficiency improvements across our custom High-Performance Computing infrastructure managing annual compute spend. As Zoox scales its autonomous vehicle development, intelligent resource management and cost efficiency have become critical to our success. You will modernize our HPC platform-built on industry-leading technologies like Ray.io, SLURM, and Kubernetes-with a focus on maximizing utilization, eliminating waste, and reducing cloud costs while maintaining world-class developer velocity. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on Zoox's bottom line through measurable cost reductions and efficiency gains. Responsibilities Design and implement cost optimization strategies across distributed compute infrastructure, targeting millions in annual savings Build cost visibility, attribution, and chargeback systems to drive accountability and informed decision-making Optimize job scheduling algorithms and auto-scaling policies to maximize resource utilization and minimize idle capacity Design multi-region orchestration strategies that optimize for data locality, cost and performance Identify and eliminate inefficient workload patterns through profiling, analysis, and developer education by coordinating with workload owners across multiple teams Evaluate new technologies and paradigms that reduce cost while meeting Zoox's computational and storage needs Develop cost forecasting models and budget management tools for capacity planning Implement cloud cost optimization strategies including spot instances, reserved capacity, and right-sizing Create production-grade APIs, SDKs, and tools that make cost-efficient patterns the default developer experience Qualifications Experience optimizing large-scale distributed systems for cost and efficiency Experience with Ray.io, particularly Ray Core and Ray Data Experience with Kubernetes, particularly for heterogeneous workloads and cost optimization Experience with cloud cost management on AWS (Cost Explorer) or similar providers Track record of achieving measurable cost reductions in production infrastructure Demonstrated ability to prioritize development work and build cross-functional consensus around cost/performance tradeoffs Proficiency with Python Bonus Qualifications Understanding of FinOps principles and practices Experience building cost attribution, chargeback, or showback systems Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective Experience with Kubernetes or SLURM at scale (>10k+ nodes) Experience with SLURM workload manager and advanced scheduling policies Background in algorithmic optimization or operations research $219,000 - $263,000 a year Compensation and Benefits There 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 Zoox Zoox 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. 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. 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.
04/02/2026
Full time
Overview Zoox is looking for an experienced Software Engineer to drive cost optimization and efficiency improvements across our custom High-Performance Computing infrastructure managing annual compute spend. As Zoox scales its autonomous vehicle development, intelligent resource management and cost efficiency have become critical to our success. You will modernize our HPC platform-built on industry-leading technologies like Ray.io, SLURM, and Kubernetes-with a focus on maximizing utilization, eliminating waste, and reducing cloud costs while maintaining world-class developer velocity. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on Zoox's bottom line through measurable cost reductions and efficiency gains. Responsibilities Design and implement cost optimization strategies across distributed compute infrastructure, targeting millions in annual savings Build cost visibility, attribution, and chargeback systems to drive accountability and informed decision-making Optimize job scheduling algorithms and auto-scaling policies to maximize resource utilization and minimize idle capacity Design multi-region orchestration strategies that optimize for data locality, cost and performance Identify and eliminate inefficient workload patterns through profiling, analysis, and developer education by coordinating with workload owners across multiple teams Evaluate new technologies and paradigms that reduce cost while meeting Zoox's computational and storage needs Develop cost forecasting models and budget management tools for capacity planning Implement cloud cost optimization strategies including spot instances, reserved capacity, and right-sizing Create production-grade APIs, SDKs, and tools that make cost-efficient patterns the default developer experience Qualifications Experience optimizing large-scale distributed systems for cost and efficiency Experience with Ray.io, particularly Ray Core and Ray Data Experience with Kubernetes, particularly for heterogeneous workloads and cost optimization Experience with cloud cost management on AWS (Cost Explorer) or similar providers Track record of achieving measurable cost reductions in production infrastructure Demonstrated ability to prioritize development work and build cross-functional consensus around cost/performance tradeoffs Proficiency with Python Bonus Qualifications Understanding of FinOps principles and practices Experience building cost attribution, chargeback, or showback systems Exposure to machine learning workloads (training, inference, data generation) from a cost optimization perspective Experience with Kubernetes or SLURM at scale (>10k+ nodes) Experience with SLURM workload manager and advanced scheduling policies Background in algorithmic optimization or operations research $219,000 - $263,000 a year Compensation and Benefits There 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 Zoox Zoox 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. 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. 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.
The Offline Driving Intelligence team is responsible for developing Foundation Models for prediction and planning, applying them both off-vehicle to provide ML capabilities to simulation and validation and on-vehicle to influence driving models. Our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will: Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance. Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Develop metrics and tools to analyze errors and understand improvements of our systems Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications PhD degree in Computer Science or related field +1 year of professional experience (top tier publications can remove the need for the year of experience) OR MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) $214,000 - $257,000 a year Base Salary Range There 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.
04/02/2026
Full time
The Offline Driving Intelligence team is responsible for developing Foundation Models for prediction and planning, applying them both off-vehicle to provide ML capabilities to simulation and validation and on-vehicle to influence driving models. Our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. In this role, you will: Develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance. Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field Develop metrics and tools to analyze errors and understand improvements of our systems Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications PhD degree in Computer Science or related field +1 year of professional experience (top tier publications can remove the need for the year of experience) OR MSc +5y of professional experience in a relevant field. Experience in Planning and / or Prediction using Reinforcement Learning techniques Experience with training and deploying transformer-based model architectures Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++ or Fluency in Python with a basic understanding of C++ Bonus Qualifications Top tier publications (NeurIPS, ICML, CVPR) $214,000 - $257,000 a year Base Salary Range There 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.
An innovative technology company in California seeks a Prediction and Planning Machine Learning Engineer to develop cutting-edge machine learning models for autonomous vehicles. The ideal candidate holds a PhD or MSc with significant experience and expertise in reinforcement learning. The role includes designing driving plans, analyzing performance metrics, and collaborating across engineering teams. Competitive salary range of $214,000 - $257,000 along with benefits including stock options and insurance.
04/02/2026
Full time
An innovative technology company in California seeks a Prediction and Planning Machine Learning Engineer to develop cutting-edge machine learning models for autonomous vehicles. The ideal candidate holds a PhD or MSc with significant experience and expertise in reinforcement learning. The role includes designing driving plans, analyzing performance metrics, and collaborating across engineering teams. Competitive salary range of $214,000 - $257,000 along with benefits including stock options and insurance.