Machine Learning Engineer - Gen SWE
About The Position
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.
Requirements
- BS degree in Computer Science or equivalent practical experience
- 5+ years of software engineering experience, including building and deploying ML models into production
- Experience building backend distributed systems
Nice To Haves
- Experience with C++
- MS in Computer Science, or equivalent practical experience
- Experience in developing machine learning models, infrastructure, and pipelines
- Experience deploying models on-device or on edge hardware with compute and latency constraints
- Track record of owning ambiguous, user-facing problems end-to-end and setting your own technical direction
- Experience in autonomous vehicles or robotics
Responsibilities
- 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, simulation, and live experiments to measure impact on service quality and rider experience
Benefits
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
- Waymo’s discretionary annual bonus program
- Equity incentive plan
- Generous Company benefits program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
