[Hiring] Tech Lead, Performance Evaluation @May Mobility

Role Description

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!

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• 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.