Machine Learning Engineer II - Autonomous Driving Performance Evaluation

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:

Required

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.

Desirable

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

Travel required? - Low 5-10%

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

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.

May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click here