Application Guide

How to Apply for Machine Learning intern, Behavior Planning

at Nuro

🏢 About Nuro

Nuro is unique as a robotics company focused exclusively on last-mile delivery using custom-designed, electric autonomous vehicles, not retrofitted cars. Their mission to reduce emissions and traffic congestion through affordable goods delivery offers a tangible social impact. Working at Nuro means contributing to real-world deployment of autonomous systems that operate daily in communities.

About This Role

This Machine Learning intern role focuses specifically on Behavior Planning for autonomous delivery robots, involving developing ML models for trajectory generation and prediction. You'll work on scalable systems that directly impact vehicle safety and feasibility in real-world environments. The role is impactful because your models will be tested and deployed on actual Nuro vehicles, contributing directly to solving top autonomy challenges.

💡 A Day in the Life

A typical day might involve implementing and training ML models for trajectory prediction using PyTorch, then analyzing results from real-world vehicle data to identify areas for improvement. You'd collaborate with the learned behavior team to understand system performance metrics and work on solutions for specific autonomy challenges, with opportunities to see your work tested on actual Nuro delivery vehicles.

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Interview Prep

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🎯 Who Nuro Is Looking For

  • Currently pursuing a degree in Computer Science, Robotics, or related field with coursework/projects in machine learning and autonomous systems
  • Has hands-on experience with PyTorch (specifically mentioned in job description) for implementing and training ML models
  • Demonstrates understanding of behavior planning concepts for autonomous vehicles through academic projects or previous internships
  • Shows ability to analyze system performance and data quality, not just model implementation

📝 Tips for Applying to Nuro

1

Highlight specific PyTorch experience in your resume, including any projects involving trajectory prediction or planning systems

2

Mention any experience with real-world robotics or autonomous systems deployment, even if in academic settings

3

Research Nuro's specific vehicle platforms and mention how your skills could apply to their delivery-focused autonomy challenges

4

Prepare to discuss how you approach data quality analysis for ML systems in safety-critical applications

5

Show familiarity with behavior planning literature or common approaches in autonomous driving

✉️ What to Emphasize in Your Cover Letter

["Explain why you're specifically interested in Nuro's delivery-focused autonomy mission versus general self-driving cars", 'Describe relevant coursework or projects involving trajectory generation, prediction, or planning systems', 'Highlight any experience with the full ML pipeline from implementation to testing/deployment', "Mention how you've collaborated in technical teams to solve complex autonomy challenges"]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Nuro's specific vehicle platforms (R2 and R3) and their operational domains
  • → The company's partnerships and current deployment locations
  • → Nuro's technical blog posts or research publications on behavior planning
  • → Challenges specific to last-mile delivery autonomy versus passenger vehicle autonomy

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Technical questions about implementing behavior planning models using PyTorch
2 Discussion of how you would approach trajectory generation for delivery vehicles in complex urban environments
3 Questions about analyzing and improving data quality for ML-based planning systems
4 Scenario-based questions about safety considerations in autonomous delivery systems
5 Discussion of your experience with the full ML lifecycle from experimentation to deployment
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⚠️ Common Mistakes to Avoid

  • Applying with only generic ML experience without showing specific interest in autonomous systems or robotics
  • Failing to demonstrate understanding of safety-critical considerations in autonomous vehicle planning
  • Not being able to discuss the difference between Nuro's delivery focus and other autonomous vehicle companies

📅 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 Nuro!

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