23h ago
Senior Machine Learning Engineer, End-to-end Autonomy
Palo Alto, CA
✨ $180k-$280k / yearest.
full-timesenior Hybrid
🛠 Tech Stack
💼 About This Role
You'll own the design and development of ML models for end-to-end autonomous driving, from data strategy to deployment. You'll resolve ambiguities in complex multi-team projects and enable colleagues through high-quality code and ML rigor. This cross-org collaboration with Toyota Research Institute pioneers fully learned AD/ADAS stacks using Diffusion Policy and Large Behavior Models.
🎯 What You'll Do
- Design and develop ML models for end-to-end autonomous driving.
- Manage data strategy, experimentation, evaluation, and deployment.
- Resolve ambiguities in complex multi-team projects.
- Collaborate with stakeholders across time zones to define interfaces.
📋 Requirements
- MS or higher in related field or equivalent experience.
- Professional experience with ML frameworks such as PyTorch, Jax, or TensorFlow.
- Knowledge of debugging deep neural networks on NVIDIA CUDA stack.
- Experience in state-of-the-art 3D perception architectures.
✨ Nice to Have
- Experience with model deployment using NVIDIA TensorRT.
- Experience with BEV representations and sensor fusion.
- Experience with embedded ML platforms and real-time OSes.
🎁 Benefits & Perks
- 🏖️ Flexible hybrid work
- 💰 Competitive salary and equity
- 🏥 Health, dental, and vision insurance
- 📚 Learning and development opportunities
- 🍽️ Catered lunch and snacks
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