Policy & Quality Lead – ML Labeling Operations

Waymo; Mountain View (CA); On-site; USD 152,000 - 160,000; Full time

Job summary

Waymo in Mountain View is seeking an L4 Policy & Quality Specialist to strengthen our labeling policy program and accelerate perception engineering velocity. You will translate machine learning data requirements into precise labeling instructions and publish actionable policies for multiple data queues.

You will collaborate with MTV engineers, vendor teams, and regional specialists to ensure policy accuracy, queue readiness, and high data quality across country deployments.

Qualifications

• : 4-5+ years of experience in data analysis, operations, or program management with a focus on machine learning data annotation, taxonomy design, or human‑in‑the‑loop workflows.
• Operational project management: Demonstrated ability to work independently on operational workflows and successfully project manage small sub‑working groups or vendor squads.
• Core ML data lifecycle understanding: Practical knowledge of dataset curation, labeling pipelines, data quality control metrics, and baseline model evaluation concepts.
• Analytical aptitude: Experience conducting technical data analyses using pre‑established tools (or building simple automation scripts) to diagnose pipeline issues, track vendor quality, and generate actionable insights.
• Adaptable & detail‑oriented: Comfort working within a dynamic environment, translating vague technical needs into clear documentation, and maintaining a high standard of attention to detail.

Responsibilities

• : Translate requirements to policies with MTV‑based Perception Engineers/ ML model owners, translate ambiguous ML requirements into precise labeling instructions, and publish clear labeling policies.
• Drive queue readiness and golden datasets: rapid policy iterations and hand‑crafting small baseline datasets to establish quality baselines.
• Direct vendor teams: provide technical guidance to vendor labeling experts to enable rapid policy setup across ~10 active queues.
• Address edge cases & regional nuances: provide inputs on long‑tail edge cases and coordinate with regional country specialists for country‑specific rules.
• Enable quality and process improvements: monitor labeling pipelines and build automated data analysis tools to identify improvements.
• Facilitate cross‑functional knowledge sharing: act as the primary technical interface between requesters and operations and manage policy amendments.

Skills

Data analysis

Operations

Program management

ML data lifecycle

Analytical skills

Detail-oriented

Tools

Python

SQL

Automation scripts

Job description

Waymo in Mountain View is seeking an L4 Policy & Quality Specialist to strengthen our labeling policy program and accelerate perception engineering velocity. You will translate machine learning data requirements into precise labeling instructions and publish actionable policies for multiple data queues.

You will collaborate with MTV engineers, vendor teams, and regional specialists to ensure policy accuracy, queue readiness, and high data quality across country deployments.