Senior Data Scientist II (ML)
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.Our 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. Weâre building the worldâs 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, weâve given more than 500,000 autonomous rides to real people around the globe. And weâre just getting started. Weâre hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.Senior ML Scientist II
May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for tagging data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions!
Responsibilities
Design, implement, and deploy state-of-the-art machine learning models for analyzing multimodal data to generate searchable metadata and facilitating downstream engineering workflows such as quick issue triaging.
Curate high-quality datasets for evaluation and training to ensure model robustness, performance, and coverage.
Research and implement novel techniques for sequential feature extraction, weak supervision, and self-supervised learning to efficiently handle long-tail events and continuously improve labeling data quality.
Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement.
Skills
Success in this role typically requires the following competencies:
Expert proficiency in designing and implementing deep learning architectures for multimodal data for offline analysis.
Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation.
Expertise in machine learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms.
Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May.
Excellent problem-solving skills with a meticulous approach to model architecture and optimization.
Qualifications and Experience
Required
B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
5+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithm design and machine learning.
Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs).
Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch.
Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery.
Expertise in PySpark/Apache Spark for handling large-scale data processing.
Desirable
Background in robotics or autonomous systems.
Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs).
Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP).
Benefits and Perks
Comprehensive 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.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing
Donât 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, weâre committed to building a diverse, inclusive, and authentic workforce, so if youâre excited about this role but your previous experience doesnât align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May 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.
Note 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.Salary Range$182,000—$266,000 USD
Apply Now
May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for tagging data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions!
Responsibilities
Design, implement, and deploy state-of-the-art machine learning models for analyzing multimodal data to generate searchable metadata and facilitating downstream engineering workflows such as quick issue triaging.
Curate high-quality datasets for evaluation and training to ensure model robustness, performance, and coverage.
Research and implement novel techniques for sequential feature extraction, weak supervision, and self-supervised learning to efficiently handle long-tail events and continuously improve labeling data quality.
Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement.
Skills
Success in this role typically requires the following competencies:
Expert proficiency in designing and implementing deep learning architectures for multimodal data for offline analysis.
Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation.
Expertise in machine learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms.
Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May.
Excellent problem-solving skills with a meticulous approach to model architecture and optimization.
Qualifications and Experience
Required
B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
5+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithm design and machine learning.
Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs).
Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch.
Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery.
Expertise in PySpark/Apache Spark for handling large-scale data processing.
Desirable
Background in robotics or autonomous systems.
Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs).
Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP).
Benefits and Perks
Comprehensive 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.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing
Donât 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, weâre committed to building a diverse, inclusive, and authentic workforce, so if youâre excited about this role but your previous experience doesnât align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.
Want to learn more about our culture & benefits? Check out our website!
May 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.
Note 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.Salary Range$182,000—$266,000 USD
Apply Now