{"schemaVersion":"jobsearcher.job.v1","id":"82ede4ccc4b057ab6c76af57","url":"https://jobsearcher.com/jobs/82ede4ccc4b057ab6c76af57","canonicalUrl":"https://jobsearcher.com/jobs/82ede4ccc4b057ab6c76af57","title":"ML Engineer - Remote","description":"About The CompanyWaymo is a pioneering autonomous driving technology company dedicated to making transportation safer, more accessible, and more efficient. Originating from the Google Self-Driving Car Project in 2009, Waymo has established itself as a leader in the development of self-driving vehicle technology. The company's mission is to become the world's most trusted driver, leveraging cutting-edge innovation to save lives and improve mobility for all. The Waymo Driver, the company's flagship autonomous driving system, has completed over ten million rider-only trips and has accumulated more than 100 million miles of autonomous driving on public roads across more than 15 states in the U.S. Additionally, Waymo's extensive simulation environment, running tens of billions of miles, supports continuous improvement and safety in autonomous driving. The company’s commitment to research and development is evident through its collaboration with Alphabet's research teams, fostering advancements in perception, sensor fusion, machine learning, and artificial intelligence to address real-world challenges in autonomous mobility.About The RoleWaymo is seeking a talented and experienced Machine Learning Engineer to join its Perception team, specifically focusing on Sensor Pipelines. In this role, you will work on developing advanced sensor fusion algorithms and multi-modal perception architectures that enable the Waymo Driver to accurately perceive and interpret the environment. You will be instrumental in designing and deploying machine learning models, including Generative AI systems, to solve complex real-world problems such as collision detection, occlusion sensing, and detecting antagonistic behaviors like vandalism. This position offers a hybrid work schedule and reports to a Technical Lead Manager. As part of the team, you will collaborate closely with product, infrastructure, and research teams across Waymo and Alphabet, contributing to the development of scalable and robust perception solutions that enhance autonomous driving safety and reliability.QualificationsBachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent practical experienceMinimum of 3 years of experience in Machine Learning and/or Computer VisionProficiency in C++ and Python programming languagesExperience with ML frameworks such as PyTorch or JAXDeep understanding of sensor fusion, multi-modal data processing, and spatial-temporal modelingStrong problem-solving skills and ability to work collaboratively in a fast-paced environmentResponsibilitiesDesign, develop, and optimize sensor fusion architectures and perception models for autonomous vehiclesImplement and deploy machine learning solutions, including Generative AI systems, to address perception challengesCreate data pipelines for data mining, labeling, training, and evaluation to support onboard development effortsCollaborate with cross-functional teams including product managers, infrastructure engineers, and research scientists to integrate perception solutionsConduct research to improve perception algorithms and contribute to publications and technical blogsStay updated with the latest advancements in AI, ML, and autonomous vehicle perception technologiesBenefitsCompetitive salary range of $175,000 to $215,000 USD, commensurate with experience and locationParticipation in Waymo’s discretionary annual bonus program and equity incentive planComprehensive health, dental, and vision insurance plansGenerous paid time off and flexible work arrangementsOpportunities for professional growth and development in a cutting-edge technology environmentAccess to innovative projects that are shaping the future of autonomous mobilityEqual OpportunityWaymo is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workspace that respects and promotes individual differences. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status. We encourage candidates from diverse backgrounds to apply and join us in our mission to revolutionize transportation safety and accessibility.","company":"Sundayy","rawCompany":"sundayy","isRemote":true,"isActive":false,"createdAt":"2026-06-02T00:11:59.511Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"ML Engineer - Remote","description":"About The CompanyWaymo is a pioneering autonomous driving technology company dedicated to making transportation safer, more accessible, and more efficient. Originating from the Google Self-Driving Car Project in 2009, Waymo has established itself as a leader in the development of self-driving vehicle technology. The company's mission is to become the world's most trusted driver, leveraging cutting-edge innovation to save lives and improve mobility for all. The Waymo Driver, the company's flagship autonomous driving system, has completed over ten million rider-only trips and has accumulated more than 100 million miles of autonomous driving on public roads across more than 15 states in the U.S. Additionally, Waymo's extensive simulation environment, running tens of billions of miles, supports continuous improvement and safety in autonomous driving. The company’s commitment to research and development is evident through its collaboration with Alphabet's research teams, fostering advancements in perception, sensor fusion, machine learning, and artificial intelligence to address real-world challenges in autonomous mobility.About The RoleWaymo is seeking a talented and experienced Machine Learning Engineer to join its Perception team, specifically focusing on Sensor Pipelines. In this role, you will work on developing advanced sensor fusion algorithms and multi-modal perception architectures that enable the Waymo Driver to accurately perceive and interpret the environment. You will be instrumental in designing and deploying machine learning models, including Generative AI systems, to solve complex real-world problems such as collision detection, occlusion sensing, and detecting antagonistic behaviors like vandalism. This position offers a hybrid work schedule and reports to a Technical Lead Manager. As part of the team, you will collaborate closely with product, infrastructure, and research teams across Waymo and Alphabet, contributing to the development of scalable and robust perception solutions that enhance autonomous driving safety and reliability.QualificationsBachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent practical experienceMinimum of 3 years of experience in Machine Learning and/or Computer VisionProficiency in C++ and Python programming languagesExperience with ML frameworks such as PyTorch or JAXDeep understanding of sensor fusion, multi-modal data processing, and spatial-temporal modelingStrong problem-solving skills and ability to work collaboratively in a fast-paced environmentResponsibilitiesDesign, develop, and optimize sensor fusion architectures and perception models for autonomous vehiclesImplement and deploy machine learning solutions, including Generative AI systems, to address perception challengesCreate data pipelines for data mining, labeling, training, and evaluation to support onboard development effortsCollaborate with cross-functional teams including product managers, infrastructure engineers, and research scientists to integrate perception solutionsConduct research to improve perception algorithms and contribute to publications and technical blogsStay updated with the latest advancements in AI, ML, and autonomous vehicle perception technologiesBenefitsCompetitive salary range of $175,000 to $215,000 USD, commensurate with experience and locationParticipation in Waymo’s discretionary annual bonus program and equity incentive planComprehensive health, dental, and vision insurance plansGenerous paid time off and flexible work arrangementsOpportunities for professional growth and development in a cutting-edge technology environmentAccess to innovative projects that are shaping the future of autonomous mobilityEqual OpportunityWaymo is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workspace that respects and promotes individual differences. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status. We encourage candidates from diverse backgrounds to apply and join us in our mission to revolutionize transportation safety and accessibility.","datePosted":"2026-06-02T00:11:59.511Z","dateModified":"2026-06-02T00:11:59.511Z","hiringOrganization":{"@type":"Organization","name":"Sundayy","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"82ede4ccc4b057ab6c76af57"},"url":"https://jobsearcher.com/jobs/82ede4ccc4b057ab6c76af57"}}