Application Guide

How to Apply for Tech Lead, Performance Evaluation

at May Mobility

🏢 About May Mobility

May Mobility is pioneering autonomous electric vehicles with their innovative Multi-Policy Decision Making (MPDM) technology that fundamentally rethinks how AVs operate. Unlike many tech companies, they've already delivered over 300,000 real-world autonomous rides globally and focus specifically on solving urban mobility challenges like transit gaps and congestion. Their mission to create safer, greener, more accessible transportation makes them unique in the AV space.

About This Role

As Tech Lead for Performance Evaluation, you'll develop automated methods to contextualize data from autonomous vehicles, enabling valuable insights for issue triaging, test set creation, and autonomy improvements. This role directly impacts the safety and reliability of May Mobility's AV systems by making their vast data collection searchable and actionable for continuous system enhancement.

💡 A Day in the Life

A typical day involves designing and implementing automated methods to process and contextualize data from autonomous vehicle fleets, collaborating with autonomy engineers to identify key performance metrics, and developing systems to make AV data searchable for issue investigation. You'll work on building pipelines that transform raw sensor data into structured insights that directly inform safety improvements and system enhancements.

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🎯 Who May Mobility Is Looking For

  • 10+ years as a Data Scientist or ML Engineer with deep expertise in algorithmic design and deep learning, specifically applied to real-world systems
  • Strong proficiency in Python, SQL, and data analysis tools (Pandas, NumPy, Spark) with demonstrated experience in database extraction and transformation
  • Experience building and managing large-scale data pipelines for autonomous vehicle or similar real-time systems
  • Advanced degree (M.S. or Ph.D. preferred) in Engineering, Data Science, Computer Science, Math, or related quantitative field with focus on practical applications

📝 Tips for Applying to May Mobility

1

Highlight specific experience with autonomous vehicle data or similar real-time sensor data systems in your resume

2

Demonstrate how you've built automated methods for data contextualization in past roles, not just analysis

3

Include concrete examples of how you've made data 'searchable' for triaging issues or creating test sets

4

Show familiarity with May Mobility's MPDM technology by referencing how your skills could enhance their specific approach

5

Emphasize experience with the full data pipeline from extraction through transformation to actionable insights

✉️ What to Emphasize in Your Cover Letter

['Your experience with algorithmic design and deep learning specifically for performance evaluation systems', "How you've previously made complex data searchable and actionable for engineering teams", "Your understanding of autonomous vehicle data challenges and how your approach aligns with May Mobility's MPDM technology", 'Specific examples of building automated methods for data contextualization in production environments']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Deep dive into May Mobility's Multi-Policy Decision Making (MPDM) technology and how it differs from other AV approaches
  • → Study their specific deployments and partnerships to understand their real-world implementation challenges
  • → Research their existing data infrastructure through engineering blog posts or conference presentations
  • → Understand their safety philosophy and how performance evaluation supports their mission of safe, accessible transportation

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a system to automatically contextualize AV sensor data for performance evaluation?
2 Describe your experience with deep learning models for analyzing time-series sensor data from vehicles
3 How have you made large datasets searchable for issue triaging in past projects?
4 What metrics would you prioritize for evaluating autonomous vehicle performance, and why?
5 How would you approach building test sets from real-world AV data for system improvements?
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⚠️ Common Mistakes to Avoid

  • Focusing only on data analysis without demonstrating experience in building automated data contextualization systems
  • Generic ML experience without specific examples related to sensor data, time-series analysis, or real-world systems
  • Not showing understanding of how performance evaluation directly impacts AV safety and reliability in production environments

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to May Mobility!

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