# Machine Learning Engineer - Gen SWE at Waymo

- Company: Waymo
- Status: Open
- Workplace: On-site
- Location: Mountain View, CA
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Salary: $213K–263K
- Posted: 2026-10-13
- Skills: CSI (7LV)
- Apply: https://careers.withwaymo.com/jobs?gh_jid=8212440

## Description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
 This role follows a hybrid work schedule and reports to a Software Tech Lead Manager.
 You will: 
• 
 Own and drive the roadmap for ML-powered pickup and dropoff features, from problem definition through launch, in partnership with PM, UX, data science, and other commercialization engineering teams
• 
 Train, evaluate, and deploy ML models for occupancy detection, rider-vehicle interactions, pullover selection, and lost and found
• 
 Design fallback systems that cascade between onboard and offboard models based on latency, confidence, and connectivity
• 
 Build distributed systems that span vehicles, cloud services, and rider apps, and that handle intermittent and inconsistent connectivity well
• 
 Work across the stack (data pipelines, model serving, backend services, and client integration) to ship end-to-end, user-facing features
• 
 Define success metrics and use offline evaluation

More Waymo roles: https://deviantjobs.com/companies/waymo