{"schemaVersion":"jobsearcher.job.v1","id":"80a431936c6138aa5d13eff9","url":"https://jobsearcher.com/jobs/80a431936c6138aa5d13eff9","canonicalUrl":"https://jobsearcher.com/jobs/80a431936c6138aa5d13eff9","title":"Lead ML Engineer - Mapping","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.\n\nOur vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.\nThe Autonomy Mapping & Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.\nEssential Responsibilities\nArchitect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with the broader autonomy system\nLead the research, design, training and validation of advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.\nDrive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.\nOwn the end-to-end data strategy for the mapping domain. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.\nDevelop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).\nWork independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.\nCollaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.\nStay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques. This includes online vectorized HD map construction, end-to-end mapping models, and vision/fusion foundation models to deliver production-ready solutions.\nQualifications and Experience\nCandidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:\nRequired\nPh.D. or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.\n7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.\nDeep expertise in several of the following areas:\nComputer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.\nLane-level topology and connectivity, intersection modeling, and lane/road network graph construction.\nVectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.\nSelf-supervised/semi-supervised and vision/fusion Foundation Models.\nStrong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.\nExpertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.\nStrong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.\nProven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.\nStrong communication skills with the ability to lead technical discussions and align with cross-functional teams.\nDesirable\n10+ years of experience in ML/DL for autonomous driving or ADAS systems.\nExperience with feature extraction and/or fusion from both street-level and overhead imagery.\nExperience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.\nExpertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.\nA proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).\nPhysical Requirements\nStandard office working conditions which includes but is not limited to:\nProlonged sitting\nProlonged standing\nProlonged computer use\nTravel required? - Moderate: 11%-25%\nBenefits and Perks\nComprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.\nHealth Savings and Flexible Spending Healthcare and Dependent Care Accounts available.\nRich retirement benefits, including an immediately vested employer safe harbor match.\nGenerous paid parental leave as well as a phased return to work.\nFlexible vacation policy in addition to paid company holidays.\nTotal Wellness Program providing numerous resources for overall wellbeing\nDon't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.\nWant to learn more about our culture & benefits? Check out our website!\nMay Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.\nNote to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.\nMay Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click here","company":"May Mobility","rawCompany":"may mobility","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-10T14:20:19.059Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"336110","title":"Automobile and Light Duty Motor Vehicle Manufacturing","slug":"automobile-and-light-duty-motor-vehicle-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead ML Engineer - Mapping","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.\n\nOur vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.\nThe Autonomy Mapping & Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.\nEssential Responsibilities\nArchitect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with the broader autonomy system\nLead the research, design, training and validation of advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.\nDrive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.\nOwn the end-to-end data strategy for the mapping domain. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.\nDevelop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).\nWork independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.\nCollaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.\nStay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques. This includes online vectorized HD map construction, end-to-end mapping models, and vision/fusion foundation models to deliver production-ready solutions.\nQualifications and Experience\nCandidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:\nRequired\nPh.D. or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.\n7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.\nDeep expertise in several of the following areas:\nComputer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.\nLane-level topology and connectivity, intersection modeling, and lane/road network graph construction.\nVectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.\nSelf-supervised/semi-supervised and vision/fusion Foundation Models.\nStrong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.\nExpertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.\nStrong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.\nProven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.\nStrong communication skills with the ability to lead technical discussions and align with cross-functional teams.\nDesirable\n10+ years of experience in ML/DL for autonomous driving or ADAS systems.\nExperience with feature extraction and/or fusion from both street-level and overhead imagery.\nExperience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.\nExpertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.\nA proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).\nPhysical Requirements\nStandard office working conditions which includes but is not limited to:\nProlonged sitting\nProlonged standing\nProlonged computer use\nTravel required? - Moderate: 11%-25%\nBenefits and Perks\nComprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.\nHealth Savings and Flexible Spending Healthcare and Dependent Care Accounts available.\nRich retirement benefits, including an immediately vested employer safe harbor match.\nGenerous paid parental leave as well as a phased return to work.\nFlexible vacation policy in addition to paid company holidays.\nTotal Wellness Program providing numerous resources for overall wellbeing\nDon't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.\nWant to learn more about our culture & benefits? Check out our website!\nMay Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.\nNote to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.\nMay Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click here","datePosted":"2026-08-10T14:20:19.059Z","dateModified":"2026-08-10T14:20:19.059Z","hiringOrganization":{"@type":"Organization","name":"May Mobility","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"80a431936c6138aa5d13eff9"},"url":"https://jobsearcher.com/jobs/80a431936c6138aa5d13eff9"}}