We are looking for a Principal Engineer to join our AI Data Trust and Safety organization. In this role, you will be responsible for technical design and outlook for our Machine Learning Lineage and Governance infrastructure and tooling and our Safety, Fairness, and Privacy infrastructure and tooling. You will be deeply involved in the long-term design and implementation of our Trust and Safety efforts that ensures that Google’s models are developed and launched in a compliant, secure manner, have complete lineage, and provide safe and helpful responses to user queries.
The goal of the AI Data organization is to democratize high-quality ML data assets and infrastructure to enable Google to rapidly and iteratively deliver safe, innovative, and impactful product experiences powered by AI models. The AI Trust and Safety organization’s mission is to accelerate trusted AI/ML.
We build scalable and automated infrastructure to manage ML assets at Google from development to launch with full traceability and auditability, without compromising developer velocity. Our RAI infrastructure quickly translates advances in research to production in a scalable manner. The GenAI Safety Platform builds: (1) Responsible Data Flywheel to support discovery, acquisition, quality driven curation, expansion, and storage of datasets for model training and evaluation in a responsible way, (2) Critics Platform that serves safety classifiers/filters for prompts, responses, and training data (across modalities, languages, abuse types), and (3) RAI evals for automated, scalable, low-latency safety and fairness evaluations of foundation and fine-tuned models.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $278,000-$399,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits 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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.