Principal Engineer, Trust and Safety, AI Data
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Minimum qualifications:
- 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 large-scale ML Infrastructure, ML or AI for products, or related fields
- Experience growing and scaling teams
Preferred qualifications:
- Experience building ML infrastructure or products with heavy use of AI/ML and large groups of stakeholders or users
- Experience with Responsible AI
- Understanding of ML Systems and Infrastructure for production with technical knowledge to be credible with customers and engineers
- Experience with working with stakeholders to understand their needs and translate them into technical requirements
- Experience in working across highly horizontal areas requiring a high-degree of cross-organizational collaboration and coordination
- Experience with working with stakeholders to understand their needs and translate them into technical requirements
About the job
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.
Responsibilities
- Lead the technical design across the team as needed to build comprehensive, automated, and robust ML lineage and governance infrastructure and tooling, as well as safety, fairness, & privacy infrastructure and tooling.
- Work with partners from Google DeepMind and product areas (Ads, Search, YouTube, Cloud, etc) to drive lineage coverage in a seamless manner without compromising developer velocity. Influence partners and stakeholders within and across the organizations to build joint roadmaps and drive outcomes for AI governance, and translating evolving safety research to production use cases.
- Lead, design, and develop the ML lineage and governance strategy and safety, fairness, and privacy strategy in alignment with the AI Data strategy.
- Mentor and train other team members on system design and best practices relevant to the Generative AI space
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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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
This job is no longer accepting applications
See open jobs at Google.See open jobs similar to "Principal Engineer, Trust and Safety, AI Data" ASU+GSV Summit.