🛠 Tech Stack

💼 About This Role

You'll join the ML Ops team at Waymo to build and maintain critical data and ML pipelines powering autonomous driving development. Your work will drive resource optimization and cost efficiency across compute, storage, and accelerators. This hybrid role offers a unique opportunity to impact the ML flywheel at a leading autonomous driving company.

🎯 What You'll Do

• Analyze ML resource usage and cost trends across teams.
• Develop dashboards for monitoring key resource metrics.
• Identify opportunities for resource optimization and performance improvements.
• Support ML engineers on best practices for resource utilization.

📋 Requirements

• Bachelor's degree in CS, Engineering, or related field with 2+ years experience.
• Experience building distributed systems for production environments.
• Solid Python or C++ skills.
• Experience monitoring and debugging complex distributed systems.

✨ Nice to Have

• Experience with compute and storage management for medium to large organizations.

🎁 Benefits & Perks

• 💵 Discretionary annual bonus
• 📈 Equity incentive plan
• 🏥 Generous company benefits program

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 45 min
3. 3Onsite Interviews· 4 hours