May Mobility
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Senior Data Scientist
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May Mobility 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. 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. Job Overview
As a
Senior Data Scientist , you will be a critical contributor to the design, development, and deployment of advanced machine learning solutions. Your expertise will be instrumental in leveraging large-scale, multi-modal video and sensor streams to create automated, scalable systems that extract meaningful insights. Responsibilities
Develop video understanding models, from design and implementation to fine-tuning Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability, low latency, and reliability for real-time and offline processing. Curate high-quality datasets by applying advanced data mining techniques to ensure model robustness, performance, and coverage. Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement. Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations. Write clean, efficient, and well-documented Python code, adhering to best practices for data science development in a production environment. Skills
Expertise in deep 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. Proven ability to build and productionize embedding-based models and large-scale systems. Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Experience with distributed computing frameworks such as PySpark for processing large-scale datasets. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Experience with Vision-Language Models (VLMs) and fine-tuning large-scale foundational models for multi-modal tasks is a strong plus. Experience with geospatial feature extraction is a strong plus. 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 algorithmic design and deep learning. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Proven track record of building and fine-tuning deep learning models Direct experience working with multi-modal datasets, including video, image, and sensor data. Extensive experience with programming languages such as Python and distributed computing frameworks. Desirable
Experience with Vision-Language Models (VLMs) or other large-scale foundational models. Background in robotics, autonomous systems, or natural language processing. Experience with MLOps platforms and cloud machine learning services. Benefits and Perks
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. 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 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. Salary Range: $131,000—$220,000 USD
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Senior Data Scientist
role at
May Mobility 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. 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. Job Overview
As a
Senior Data Scientist , you will be a critical contributor to the design, development, and deployment of advanced machine learning solutions. Your expertise will be instrumental in leveraging large-scale, multi-modal video and sensor streams to create automated, scalable systems that extract meaningful insights. Responsibilities
Develop video understanding models, from design and implementation to fine-tuning Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability, low latency, and reliability for real-time and offline processing. Curate high-quality datasets by applying advanced data mining techniques to ensure model robustness, performance, and coverage. Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement. Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations. Write clean, efficient, and well-documented Python code, adhering to best practices for data science development in a production environment. Skills
Expertise in deep 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. Proven ability to build and productionize embedding-based models and large-scale systems. Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Experience with distributed computing frameworks such as PySpark for processing large-scale datasets. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Experience with Vision-Language Models (VLMs) and fine-tuning large-scale foundational models for multi-modal tasks is a strong plus. Experience with geospatial feature extraction is a strong plus. 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 algorithmic design and deep learning. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Proven track record of building and fine-tuning deep learning models Direct experience working with multi-modal datasets, including video, image, and sensor data. Extensive experience with programming languages such as Python and distributed computing frameworks. Desirable
Experience with Vision-Language Models (VLMs) or other large-scale foundational models. Background in robotics, autonomous systems, or natural language processing. Experience with MLOps platforms and cloud machine learning services. Benefits and Perks
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. 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 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. Salary Range: $131,000—$220,000 USD
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