🛠 Tech Stack

💼 About This Role

You'll work on autonomous vehicle perception problems using real-world driving datasets. You'll be paired with a senior mentor to prototype and evaluate algorithms that directly impact driving performance. This internship offers exposure to cutting-edge research to production pipeline.

🎯 What You'll Do

• Research and prototype algorithms for 3D entity recognition
• Train and evaluate ML models using PyTorch on large datasets
• Design and run simulation experiments to validate model performance
• Present findings and methodology to engineering teams

📋 Requirements

• Currently pursuing Bachelor's, Master's, or PhD in CS, Robotics, ML, or related field
• Strong understanding of deep learning and computer vision
• Proficiency in Python and PyTorch or TensorFlow
• Ability to implement algorithms from research papers

✨ Nice to Have

• PhD candidate in relevant field
• Experience with C++
• Familiarity with autonomous driving domain

🎁 Benefits & Perks

• 🧑‍🏫 1:1 Mentorship from leading researchers
• 💻 Access to massive compute and real-world driving data
• 📚 Networking events including tech talks and socials

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical phone interview· 45 min
3. 3On-site interviews· 4 hours

🚩 Heads Up

• In-person internship with no relocation assistance