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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