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Mid LevelFull-timePythonRustC++AWSAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an ML Data Engineer to join Waymo's Model Lifecycle team. This role focuses on building and maintaining scalable data pipelines and infrastructure to support Waymo's autonomous driving technology.
Key Responsibilities
- →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
- →Maintain and support critical data generation infrastructure and data refreshes
- →Automate data quality and validation checks to ensure dataset integrity
- →Collaborate with ML engineers, research scientists, and infrastructure teams
Requirements
- ✓Outstanding programming skills in C++ or Python
- ✓Experience in ML data engineering, including data pipelines, data curation, and data balancing
- ✓Experience with the ML development lifecycle, including data engineering, model training, evaluation, and deployment
- ✓BS/MS and 5+ years of industry experience, or PhD + 2 years of industry experience
- ✓Passionate about data-centric AI and autonomous driving applications
Benefits
- ★Competitive salary and equity incentive plan
- ★Generous Company benefits program
- ★Opportunity to work on cutting-edge autonomous driving technology
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