May Mobility

Tech Lead, Performance Evaluation

Remote, USA · Junior

Sponsorship not specified$201k-$295kDetected 169 days ago

PythonSQLMachine LearningPandasNumPySparkData AnalysisData ScienceRoboticsLeadershipProblem SolvingMentoring

About the role

Since our founding in 2017, we've given more than 500,000 autonomous rides to real people around the globe.
May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide.
Join us and make a crucial impact on our development and business decisions!

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.
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.
We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work.
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.
Domestic partners who have been residing together at least one year are also eligible to participate.

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.
Proven experience building and managing large datasets and evaluations.
Prior experience in mentoring and supporting junior engineers.
Background in Autonomous vehicles, robotics, physics or related fields.
Hands-on experience working with simulation data.

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.
Qualifications and Experience
Required
B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark).
Demonstrated expertise in databases for data extraction, transformation, and analysis.
Hands-on expertise in architecting and training complex predictive machine learning models.

$200,591 - $295,000 USD
Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

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
We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles.

This listing is sourced directly from May Mobility's careers page and normalized into a canonical job model.