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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