Senior Data Scientist

Overview 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. Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled 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. 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. 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 Don’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. 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 $131,000 — $220,000 USD #J-18808-Ljbffr