About the Job
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...
May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is lo...
Key Responsibilities
Design, implement and own ML metrics and evaluation pipelines spanning offline model evaluation, simulation and on-road performance.
Build and maintain test, regression and hillclimbing suites that gate model and stack releases, including automated triage of regressions to root cause.
Drive model improvement through loss analysis, error mining, and data balancing/curation strategies for training and evaluation sets.
Required Skills & Abilities
Success in this role typically requires the following competencies:
Designing quantitative metrics and statistical analyses that translate model behavior into actionable, decision-grade signals (significance, slicing, long-tail analysis).
Building evaluation and analytics frameworks in production, including dataset slicing, result aggregation and dashboarding at scale.
Applying data-centric ML methods such as hard-example mining, resampling/reweighting and curriculum or balance adjustments to lift model performance.
Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field with strong mathematical and engineering foundations.
A minimum of 2 years building evaluation, metrics, or data analysis systems for ML in production.
Proficiency in Python (NumPy/Pandas or equivalent dataframe tooling) with experience in Linux environments.
Familiarity with basic concepts in Machine Learning (losses, train/eval splits, common failure modes) and basic Perception and Planning concepts in Autonomous Driving.
Proficiency in Go or C++.
Familiarity with experiment tracking and evaluation tooling such as MLflow, Weights & Biases, or in-house equivalents.
Familiarity with statistical methods for A/B comparison, regression detection and noisy-metric analysis.
Familiarity with data mining and curation at scale (embedding-based retrieval, active learning, auto-labeling).
Familiarity with visualization and dashboarding tools (Plotly, Grafana, Streamlit or similar).
Standard office working conditions which includes but is not limited to:
Prolonged sitting
Prolonged standing
Prolonged computer use
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!
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