Machine Learning Engineer - Labeled Data
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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
The Labeling Platform Team creates data solutions to power groundbreaking research and development during all stages of model training: 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.
You Will:
- Build state of the art labeling tools to allow users to annotate the real world in 3D.
- Build tooling that allows the Operations teams to manage large workforces and distribute tasks effectively.
- Collaborate with ML practitioners to understand their data needs and translate those requirements appropriate label formats and labeling experiences that can be efficiently used by labelers.
- Collaborate with UX teams to turn tooling mocks into productionized applications.
- Integrate ML automation to increase human labeler quality and efficiency
- Work with the human operations teams to hillclimb on process efficiencies.
You Have:
- Bachelor's degree in Computer Science, Engineering, or related field, and 3+ years equivalent experience
- Experience developing human labeling/review tools. EG: Labeling for ML, Content Reviews for Trust and Safety, etc.
- Expertise in Typescript and Frontend frameworks
- Experience in working with WebGL using Three.js or similar libraries.
Nice To Have:
- Experience in developing human + ML interaction schemes to boost productivity and quality of label generation.
- Experience in leveraging WebAssembly and/or WebWorkers for web browser performance optimizations.
- Experiencing programming using C++.
- Hands-on experience with LLM/GenAI-based products.
This position reports into an Engineering Manager
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo 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.
