Principal Engineer, Data Quality, AI Foundry

Google Inc.; San Jose (CA); On-site; USD 307,000 - 427,000; Full time

Job summary

Google San Jose is seeking a Principal Engineer, Data Quality for the AI Foundry Data Quality team. You will lead technical direction, orchestrate upstream capabilities, and deliver high-quality datasets for Search and DeepMind training at Google scale.

You will influence data quality across large, dynamic systems and collaborate with researchers and engineers to drive data-driven ML and Search features. The role emphasizes architecture, metrics, and scalable data plumbing.

Qualifications

• Bachelor’s degree in CS/Engineering/Mathematics/Statistics/Economics, or equivalent practical experience.
• 15 years of software engineering experience, building and operating large-scale systems.
• 7 years in a technical leadership role (with or without direct reports).
• 5 years developing and deploying ML models on data sets.

Responsibilities

• Lead the strategy, technical vision, and roadmaps for the data quality team to deliver high-quality datasets.
• Drive the architecture toward data flywheel for ML training data and Search Context that can self-correct and self-heal.
• Collaborate with DeepMind and Search researchers, data analysts, and engineers to identify VoD signals.
• Partner with infrastructure owners to evolve crawl, processing, and signal enrichment for high-quality datasets.
• Provide technical guidance to components of the context quality area, including large-scale signal developments and metrics.

Skills

Software engineering experience

Technical leadership

ML model development

Data systems experience

Education

Bachelor's degree in CS/Engineering/Math/Stats/Economics or equivalent

Job description

Principal Engineer, Data Quality, AI Foundry

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• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, a related technical field, or equivalent practical experience.
  
• 15 years of experience in software engineering, building and working with systems in the technology organization.
• 7 years of experience in a technical leadership role with/without direct reports.
• 5 years of experience developing and deploying machine learning models on data sets.
• 3 years of infrastructure or data systems experience building or managing infrastructure products, such as distributed storage systems, data warehousing, or data processing pipelines.

Preferred qualifications:

• Master's degree or PhD or in Computer Science, Artificial Intelligence, or a related field.
• Experience in Search or Generative AI training data journeys, or experience in product data needs with comparable journeys.
• Experience defining and tracking complex metrics across large-scale and dynamic ecosystems.
• Experience collaborating with high-level research teams (e.g., DeepMind Researchers) to translate abstract data needs into scalable engineering solutions.
• Track record of establishing "data flywheels" or self-healing data systems.

About the job

The AI Foundry team's mission is to power AI journeys with useful and trusted data at scale, and powers various Google products including Gemini model development and Google Search. The Data Quality team in AI Foundry focuses on advancing data quality to enhance the user experience of Google's products.

We are seeking a Principal Engineer who will be the Technical Lead (TL) for data quality and set the technical direction, vision, and strategy for the area. In this role, you will be responsible for delivering high-quality datasets for Search and DeepMind training by orchestrating upstream capabilities to meet downstream consumption requirements. This is a unique opportunity to influence how Google understands and utilizes the world's data at an unprecedented scale.

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google.

• Lead the strategy, technical vision, and roadmaps for the data quality team to deliver high-quality datasets for DeepMind and Search.
• Drive the architecture toward establishing the data flywheel for ML training data and Search Context that can self correct and self heal as the data travels through multiple dynamic and large-scale systems (such as sourcing, acquisition and indexing) to the data store.
• Collaborate closely with DeepMind and Search researchers, data analysts, and engineers to identify key Value of Data (VoD) signals.
• Partner with infrastructure owners in AI Foundry to evolve systems—including crawl, processing, and signal enrichment—to deliver high-quality datasets that power Search features and AI models.
• Provide technical guidance to critical components of the context quality area, such as large-scale signal developments, design and development of quality metrics.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.