Technical Specialist, ML Data
Waymo•3h ago
Hyderabad, IndiaOnsite₹4.9M–₹5.8MFull-timeSenior Level8+ yrs exp
Top focus
Vp DataData Viz SpecialistData AnalystData ScientistData Engineer
- 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
- The Labeling Data Program Org owns the execution and creation of curated labeled datasets which are critical for training and evaluation of ML models that power the Waymo Driver.
- As a Technical Specialist in this team, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data—the lifeblood of our models. You will orchestrate the end-to-end data lifecycle, from defining requirements for new datasets and tooling to scaling data pipelines and ensuring our ML teams have the resources they need to innovate. This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions.
- You will:
- Drive the ML Flywheel: Lead the end-to-end lifecycle of ML data, from initial mining and curation to labeling policy definition, validation
- model evaluation. Work cross-functionally to ensure coordination and alignment on objectives and key results.
- Translate Policy to Code: Lead the development of sophisticated labeling policies for complex AV domains (e.g., behavior prediction, long-tail edge cases). Convert ambiguous ML quality problems into precise, scalable annotation policies and data taxonomies.
- Build Evals & Metrics: Design and implement ML evaluation frameworks. Identify key data-centric drivers of model performance and create the metrics that track ML quality at the data level.
- Cross-Functional Leadership : Communicate effectively with technical and non-technical audiences at various levels of seniority, including producing analytical write-ups, dashboards
- data visualizations to convey your findings and recommendations to our team and cross-functional stakeholders
- Influence ML data selection strategies (active learning, hard-mining) to ensure we are labeling the most impactful data to maximize ROI from the labeling effort
- You have:
- 8+ years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Deep understanding of the ML data lifecycle: labeling, taxonomy design, quality control, and data curation.
- Experience with ML Data Flywheel and working understanding of ML development life cycle (e.g., model deployment,model evaluation, data processing, debugging, fine tuning).
- Background in leading and managing complex programs that span across organizations and functions, with specific experience in Machine Learning data annotation or Human-in-the-Loop initiatives.
- Strong ability to thrive in a dynamic environment, demonstrating comfort and effectiveness when dealing with ambiguity.
- Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.
- We prefer:
- Experience with scripting language, machine learning tools, techniques and systems (including prompt engineering and fine-tuning LLMs ) is a strong plus.
- Demonstrated ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data.
- Demonstrated ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements.
- Excellent written and verbal communication and ability to describe technical implementations or analyses to a non-tech audience in an effective manner.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
- A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions.
- Travel requirements (if applicable):
- Open to traveling to meet cross-location partners, and stakeholders occasionally
- The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education
- skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan
- generous Company benefits program, subject to eligibility requirements.
- Salary Range
- ₹4,850,000 — ₹5,750,000 INR
Required skills
data analysismachine learningdata curationdata processingdebuggingfine tuningscriptingdata visualization