Senior Data Scientist - Geospatial/ML

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!

• Develop methods to identify driver behavior and traffic interactions on large scale datasets.
• Design, implement, and deploy state-of-the-art machine learning models.
• 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.

• Expertise in complex temporal feature engineering and geospatial analysis.
• Expertise in designing and optimizing pipelines for complex, multi-modal sensor data processing from raw sources to refined features.
• 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.

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.
• Demonstrated experience in extracting temporal and geospatial features to understand driving maneuvers and traffic interactions from large, complex datasets.
• Proficiency in Python and SQL.
• Expertise in machine learning libraries like Scikit-learn, TensorFlow/PyTorch.
• 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).

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.