← All roles

Technical Specialist- ML Data

Waymo· Engineering Operations
Apply on company site
HyderabadINR 3000k - INR 3570kFull-timePosted 3w ago

About the role

Technical Specialist based in Hyderabad, responsible for the labeling policy program as the operational backbone, translating ML data requirements into precise labeling policies, driving rapid policy iterations, and ensuring quality and efficiency of labeling workflows for Waymo’s ML data lifecycle.

Responsibilities

  • - Translate requirements to policies: Collaborate with ML model owners/engineers to understand data goals, translate ambiguous ML requirements into precise labeling instructions, and publish clear labeling policies (with support from US counterparts and vendor partners).
  • - Drive queue readiness & golden datasets: Accelerate initial labeling queue setup via rapid policy iterations and hand-craft golden datasets to establish quality baselines before full-scale operations.
  • - Direct vendor teams: Provide technical guidance to vendor labeling experts to enable rapid policy setup and ensure labeling queues run smoothly meeting safety and performance objectives.
  • - Address edge cases & regional nuances: Provide inputs on long-tail edge cases and coordinate with regional country specialists to capture country-specific driving rules and local nuances ahead of deployment.
  • - Enable quality and process improvements: Monitor labeling pipelines, perform targeted analyses to identify data quality trends, and build automated data analysis tools to improve labeling workflows.
  • - Facilitate cross-functional knowledge sharing: Serve as the primary technical interface between requesters and operations, manage policy amendments, and resolve escalations from requestors or vendor teams.

Qualifications

  • - 6+ years of experience in data analysis, operations, or program management with a focus on ML data annotation, taxonomy design, or human-in-the-loop workflows.
  • - Operational project management: Ability to work independently on operational workflows and manage small sub-working groups or vendor squads.
  • - Core ML data lifecycle understanding: Knowledge of dataset curation, labeling pipelines, data quality metrics, and baseline model evaluation concepts.
  • - Analytical aptitude: Experience with technical data analyses using tools or automation scripts to diagnose pipeline issues, track vendor quality, and generate actionable insights.
  • - Adaptable & detail-oriented: Comfortable in dynamic environments, translating vague technical needs into clear documentation, with high attention to detail.

Skills

Required:Data analysisOperations managementML data lifecycle

Benefits

  • Health and wellness: medical, dental, vision, mental wellness support, gym membership, wellness programs
  • Financial wellness: competitive compensation, bonus opportunities, equity, provident fund, employee discounts
  • Flexibility and time off: on-site or hybrid options, remote working opportunities, PTO, bereavement, sick, parental leave
  • Supporting families: enhanced leave options including 26 weeks for birthing parents and 18 weeks for non-birthing parents
  • Community and personal development: education reimbursement, development programs, mentorship, ERGs, volunteer time off
  • Cool perks: access to perks and facilities across Google offices, at-home fitness and cooking classes
Last updated Oct 22, 2026. Interested? Apply on the company site.
Waymo logo

About Waymo

The World’s Most Experienced Driver

Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles.

Autonomous DrivingAutonomous VehiclesMobilityRide-Hailliquid-ai-recruiting-target
Company profileWebsite

More open roles at Waymo