Senior Software Engineer, Model Lifecycle
AI summary of the role
This role accelerates Waymo's ML development cycle by building scalable data pipelines and infrastructure for the Perception team.
What you’ll do
- Design, build, and maintain scalable data pipelines to process many petabytes of complex sensor data
- Develop infrastructure to produce reliable, high-quality datasets for a wide range of ML models
- Build towards an automated, unified data flywheel connecting data curation to model training
- Develop infrastructure for Perception-wide model training and release-ready packaging
What you’ll bring
- Outstanding programming skills in C++ or Python
- Experience in ML data engineering including data pipelines, curation, and balancing
- Experience with the ML development lifecycle (data engineering, training, evaluation, deployment)
- BS/MS and 5+ years of industry experience, or PhD + 2 years of industry experience
Technologies
C++ · Python · Apache Spark · Apache Beam · Google Cloud Dataflow · AWS Data Pipeline · Faiss · ScaNN
About Waymo
Builds the Waymo Driver autonomous driving stack and operates Waymo One robotaxi services, using large-scale real-world and simulated driving data to expand safely across cities.
Growth
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. The core challenge within Model Lifecycle is accelerating Waymo's ML development cycle. As we scale to new cities and vehicle platforms, our data volume is exploding, and our models are becoming
More from the job 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. The core challenge within Model Lifecycle is accelerating Waymo's ML development cycle. As we scale to new cities and vehicle platforms, our data volume is exploding, and our models are becoming more complex, handling more and more tasks. This team is critical to controlling that complexity. In this hybrid role, you will report to an engineering manager. You will: Design, build, and maintain scalable data pipelines to process many petabytes of complex sensor data, making it ready for efficient model training and evaluation. Develop infrastructure to produce reliable, high-quality datasets for a wide range of ML models, from real-time on-car models to large-scale offboard foundation mod [... source excerpt omitted ...] ic AI and autonomous driving applications We prefer: Experience in working in cross-functional settings to support data users and collaborating with infrastructure stakeholders; customer-oriented mindset Hands-on experience in building large scale data processing or retrieval systems and pipelines: Apache Spark, Apache Beam, Google Cloud Dataflow, AWS Data Pipeline, Faiss/ScaNN, etc. Experience building automated ML pipelines -- data pipelines, continuous model training/evaluation pipelines, etc. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role includ [... source excerpt omitted ...] aymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD
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