Distinguished Engineer, AI Data

Google

Mountain View, CA

Full Time

Senior

349k-485k

13 days ago

Job Description

About the Role

As a Distinguished Engineer, you will establish and drive the deep technical aspects of Google's AI data strategy. You will focus on architecting and implementing data-driven solutions across key areas, including data governance, responsible AI, human data operations, data acquisition and generation, and ML developer toolkit. This role offers a unique opportunity to shape the future of AI at Google, collaborating with teams and driving rapid convergence across high-priority strategic areas. You will have autonomy in technical decision-making, backed by data-driven insights and committed to tangible, measurable outcomes.

Key Responsibilities

Drive the technical outlook and execution of our AI Data Strategy, ensuring alignment with broader company goals.
Architect and implement solutions across key areas, including data governance, responsible AI, human data operations, data acquisition, generation, ML developer toolkit, data quality and observability, and content ecosystem development.
Define and implement technical architecture for ML data solutions, including tools, technologies, and frameworks.
Collaborate effectively with diverse teams across Google, including product areas, research teams, infrastructure teams, and data governance and compliance teams.
Influence and persuade stakeholders using technical expertise, judgment, and effective communication.

Requirements

Bachelor's degree in Computer Science, Software Engineering, similar technical field, or equivalent practical experience.
15 years of professional experience in software development.
Experience with machine learning systems.
Experience with ML infrastructure, ML or AI for products, or related fields.

Nice to Have

Experience building ML infrastructure or products with heavy use of AI/ML and large groups of stakeholders or users.
Experience with Responsible AI.
Experience working with stakeholders to understand their needs and translate them into technical requirements.
Experience working across highly horizontal areas requiring a high-degree of cross-organizational collaboration and coordination.
Understanding of ML Systems and infrastructure for production with technical knowledge to be credible with customers and engineers.

Qualifications

Formal educational background in Computer Science, Software Engineering, or a related technical field.

Benefits & Perks

US base salary range for this full-time position is $349,000-$485,000 plus bonus, equity, and benefits.
Additional benefits available at Google, details at https://careers.google.com/benefits/.

Working at Google

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. For accommodations, applicants can complete the provided form at https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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