Staff Tech Lead, ML Data Infrastructure and Inference Platform
Waymo · Mountain View, CA, USA
About this role
**Waymo — Staff Tech Lead, ML Data Infrastructure and Inference Platform** Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. The ML Data Infrastructure and Inference Platform team owns the data and data infrastructure for all ML Flywheels at Waymo—enabling planet-scale centralized feature storage for ML training and evaluation, feature extraction, and bulk/online inference. **You will:** - Build, lead, and contribute to Waymo’s ML data infrastructure platform to enable planet-scale ML Flywheels for all ML models. - Partner with teams across Waymo (onboard and offboard Foundation Models) to understand data infrastructure needs, distributions, quality, value, freshness, and to onboard flywheels onto the planet-scale data store. - Lead, mentor, and guide a team of engineers to build and onboard infrastructure efficiently. - Work across a large surface area with significant impact, cross-team collaboration, and direct interaction with ML models. **You have:** - 6+ years of professional software engineering experience - Experience tech leading projects with high cross-team collaboration - Experience tech leading teams of engineers on complex projects - Programming experience in **C++** - Experience building highly scalable distributed systems - Experience with **ML Data** and **ML Flywheels** **We prefer:** - Passion for data and building ML infrastructure/tools - Experience tech leading cross-functional projects - Experience handling large datasets (exabytes) - Experience building machine learning infrastructure and model hosting/inference infrastructure - Experience building production services with high QPS **Location:** #LI-Hybrid **Compensation (US):** Expected base salary range: **$251,000–$310,000 USD**. Actual starting pay depends on job-related factors (location, experience, education, and skills). Waymo employees may also be eligible for a discretionary annual bonus, equity incentives, and benefits (subject to eligibility).
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