Senior Software Engineer - ML/ Fraud Prevention

Waymo is an autonomous driving technology company focused on building the Waymo Driver—the World's Most Experienced Driver™—to improve access to mobility and save lives. The Waymo Driver powers a fully autonomous ride-hail service and has driven over 100 million miles on public roads across 15+ U.S. states.

• Bachelor's degree in Computer Science, Mathematics, Statistics, or equivalent practical experience.
• 5+ years of software engineering experience building distributed backend systems or production machine learning systems using languages such as Python, Java, Kotlin, C++, Go, or similar.
• Hands-on experience training, evaluating, and deploying machine learning models to production.
• Experience serving models or critical business logic in low-latency, high-availability production environments.
• Strong fundamentals in data modeling and SQL analytics.

Nice to have:

• Experience in fraud prevention, risk management, trust & safety, payments, or other adversarial domains.
• Experience with graph/entity-clustering techniques, rules engines, and anomaly detection alongside traditional machine learning.
• Proven track record building feature/data pipelines and maintaining consistency between training data and real-time inference.
• Experience serving models or critical business logic in low-latency, high-availability production environments.

• Train, evaluate, and ship production machine learning models to score rider risk in real time, directly protecting revenue from payment fraud and reducing vehicle vandalism.
• Engineer and maintain high-throughput, low-latency feature pipelines over payment, trip, device, and identity events, ensuring consistency between offline training and online serving.
• Build and operate the real-time model serving infrastructure integrated into critical trip creation and payment authorization paths under strict latency and availability budgets.
• Design and implement safe, graduated enforcement mechanisms with full audit trails, reversibility, and support for rider appeals.
• Partner cross-functionally with Product, Finance, and Safety to balance revenue protection, rider trust, and compliance as Waymo scales to new markets.

Please note that Waymo may not be able to employ remotely in all US locations. Candidates should discuss preferred remote work location with recruiter during the interview process.