🛠 Tech Stack

💼 About This Role

You'll lead depot automation efforts for Waymo's autonomous fleet using advanced robotics and ML. You'll generalize operations like cleaning and calibration with foundation models and RL. This hybrid role bridges robotics and production ML.

🎯 What You'll Do

• Drive next-gen operational efficiency for autonomous fleet
• Generalize complex depot operations using advanced robotics
• Leverage foundation models, reinforcement learning, and simulation
• Integrate ML models in production at scale

📋 Requirements

• 3+ years experience in training large ML models
• 3+ years experience with robotics, preferably industrial
• Expertise in reinforcement learning real-world applications

✨ Nice to Have

• PhD in ML, Robotics, or related field
• Experience with ML in large-scale industrial problems

🎁 Benefits & Perks

• 💰 Competitive base salary $175k-$215k
• 📈 Discretionary annual bonus
• 📊 Equity incentive plan
• 🏥 Generous benefits program

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Phone Screen· 60 min
3. 3On-site (4-5 rounds)· 4 hours