Principal Engineer, Data Quality, AI Foundry

MINIMUM QUALIFICATIONS:

* 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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* 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.