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 contextualizing 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

• Evaluate simulation test results to drive release & safety decisions.
• Work independently with cross functional teams to develop software and system requirements.
• Lead team code quality activities including design and code reviews.
• Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations.
• Provide technical guidance to team members.

Skills

Success in this role typically requires the following competencies:

• Expertise in analyzing high-dimensional simulation data.
• Experience building ML prediction models.
• Detail-oriented with a focus on validation, testing, and error detection.
• 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.
• Ability to provide individual and team mentorship, including technical leadership for complex projects.

Qualifications and Experience

Required

• B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
• 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning.
• Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
• Demonstrated expertise in databases for data extraction, transformation, and analysis.
• Proven experience building and managing large datasets and evaluations.
• Hands-on expertise in architecting and training complex predictive machine learning models.
• Prior experience in mentoring and supporting junior engineers.

Desirable

• Background in Autonomous vehicles, robotics, physics or related fields.
• Hands-on experience working with simulation data.

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.