21h ago

Staff Machine Learning Engineer - End to End Autonomy

Palo Alto, CA
full-timelead Hybrid

🛠 Tech Stack

💼 About This Role

You'll lead end-to-end autonomous driving research in a joint project between Woven by Toyota and TRI. You'll drive the strategy and development of state-of-the-art ML models for production deployment. This role offers the opportunity to bridge cutting-edge research with real-world impact.

🎯 What You'll Do

  • Drive strategy for end-to-end autonomous driving ML research.
  • Design and experiment with ML models for e2e driving.
  • Scale ML pipelines for large foundation model training.
  • Collaborate cross-functionally to define interfaces and requirements.

📋 Requirements

  • 7+ years in machine learning or applied science.
  • MS or higher in CS/CE/EE or equivalent.
  • Hands-on experience with generative AI for robotics or autonomous driving.
  • Experience with PyTorch or equivalent ML frameworks.

✨ Nice to Have

  • Published research at NeurIPS, CVPR or similar.
  • Hands-on experience with perception stack for autonomous systems.
  • Experience with model deployment on NVIDIA stack.

🎁 Benefits & Perks

  • 🏖️ Hybrid work model
  • 💡 Cutting-edge autonomy research
  • 🚗 Impact on Toyota's mobility transformation
  • 🤝 Collaborate with top researchers at TRI
  • 📈 Leadership opportunities
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