Staff ML Engineer, Data Flywheel & Infra

Waymo; California (MO); On-site; USD 250,000 - 335,000; Full time

Job summary

Waymo is seeking a software engineer with ML infrastructure experience to help build and scale data pipelines for the Waymo Driver. You will work on data labeling, data collection, model evaluation, and scalable infra supporting ongoing model improvements for autonomous driving systems.

The role requires 4+ years of software and ML experience, strong C++/Python skills, and a passion for building world-class ML infrastructure.

Qualifications

• Degree in CS/engineering or related technical field.
• 4+ years of professional software engineering and ML experience.
• Proficiency in C++ and Python.
• Experience designing distributed systems processing data at scale.
• Foundational ML knowledge and state-of-the-art methods.

Responsibilities

• Create large scale data sets and training recipes, develop methods and recipes for human and machine labeling of data sets
• Develop methods for data mining and recipes for automated data collection/model update flywheels
• Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates
• Understand the data needs of the problem domain team and design scalable infra solutions that support model improvement and product expansion.
• Design, build and implement ML data infra and validate the changes to support the continuing scaling of VLM data needs.
• Collaborate with ML infrastructure teams and the problem domain team to address issues and bottlenecks and streamline validation.

Skills

C++

Python

Distributed systems

ML fundamentals

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, or related field

Job description

Waymo is seeking a software engineer with ML infrastructure experience to help build and scale data pipelines for the Waymo Driver. You will work on data labeling, data collection, model evaluation, and scalable infra supporting ongoing model improvements for autonomous driving systems.

The role requires 4+ years of software and ML experience, strong C++/Python skills, and a passion for building world-class ML infrastructure.