Tech Lead, Performance Evaluation

Wheel the World; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Comprehensive healthcare suite

Health Savings and Flexible Spending Accounts

Rich retirement benefits

Generous paid parental leave

Flexible vacation policy

Total Wellness Program

Job summary

A leading autonomous vehicle company is seeking an experienced Data Scientist or ML Engineer to develop automated methods for contextualizing data collected by autonomous vehicles. The role requires a strong background in algorithmic design and deep learning, along with proficiency in Python and SQL. This position offers comprehensive benefits and a chance to make a critical impact on development and business decisions in a rapidly growing environment.

Qualifications

• 10+ years of hands-on experience as a Data Scientist or ML Engineer.
• Strong proficiency in Python, SQL, and data analysis tools.
• Background in Autonomous vehicles, robotics, physics, or related fields.

Responsibilities

• Evaluate simulation test results to drive release & safety decisions.
• Work independently with cross-functional teams to develop software.
• Lead team code quality activities including design and code reviews.

Skills

Analyzing high-dimensional simulation data

Building ML prediction models

Detail-oriented approach

Problem-solving skills

Providing mentorship

Education

B.S., M.S. or Ph.D. in Engineering, Data Science, Computer Science, Math

Tools

Python

SQL

Pandas

NumPy

Spark

Job description

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.

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

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.

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 you will need any type of accommodation, please let us know.