Software Engineer, Labeling Infrastructure

The Labeling Platform Team creates data solutions to power groundbreaking research and development during all stages of the ML Lifecycle: pretraining, supervised fine-tuning, reinforcement learning, etc. The labeled data that the team produces is used to directly enhance and evaluate the Waymo Driver as well as the vast variety of models that power other parts of the business.

In this hybrid role you will report to a Technical Lead Manager/Staff Software Engineer.

 

You will:

• Build state of the art labeling infrastructure to enable production of labeled datasets.
• Improve the "data flywheel" end to end efficiency through automation and monitoring.
• Work with the labeling operations teams to hillclimb on process efficiencies and build tooling to manage large workforces and distribute tasks effectively.

 

You have:

• Bachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience
• Experience developing data annotation/review tools. EG: Labeling for ML, Content Reviews for Trust and Safety, etc.
• Experience building API servers, web backends.
• Experience building, optimizing, debugging, and maintaining large scale data processing pipelines.
• Proficiency in Typescript and/or Frontend frameworks (Angular, ReactJS).

 

We prefer:

• Experience in developing diverse data annotation tooling and infrastructure.
• Knowledge of the application of labeled datasets within the full ML ecosystem.
• Experiencing programming using C++, Python.
• Hands-on experience with LLM/GenAI-based products.

((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))

#LI-Hybrid