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Minimum qualifications:

+ Bachelor’s degree in Computer Science, or in a related technical field, or equivalent practical experience.

+ 8 years of experience in developing infrastructure or solutions within cross-functional engineering environments.

+ 5 years of experience with design and architecture, and testing/launching software products.

+ 3 years of experience working in a, matrixed organization involving cross-functional, or cross-business projects.

+ 2 years of experience in technical innovation in data governance or in related fields.

+ Experience with software development in one or more programming languages (e.g. C++, Python), and with Machine Learning and privacy data handling.

Preferred qualifications:

+ Master’s degree or PhD in Engineering, Computer Science, or in a related technical field.

+ 8 years of experience with data structures/algorithms.

+ 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., data processing, debugging, fine tuning).

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The AI Data organization is responsible for democratizing high-quality Artificial Intelligence/Machine Learning (AI/ML) data assets and infrastructure to enable Google to rapidly and iteratively deliver safe, innovative and impactful product experiences powered by AI models. Within AI Data trust, the AI Governance and Lineage team's mission is to accelerate trusted ML by making governance decisions automatic. 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 via efforts on AI Governance, AI Lineage, AI asset security, AI asset approval management, and compliance verification.

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 $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 (https://careers.google.com/benefits/) .

+ Provide technical leadership on high-impact projects by influencing and coaching a distributed team of engineers. Influence partners and stakeholders within and across the organizations to build joint roadmaps and drive outcomes for AI governance.

+ Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines and deliverables.

+ Design, develop, test, deploy, maintain, and enhance large scale software solutions.

+ Work with partners from Google Deepmind and Product Areas (Ads, Search, YouTube, Cloud, etc), to drive lineage coverage and governance tooling adoption.

+ Build systems and mechanisms which ensure that all AI models that Google develops are trained on the right data, and subject contingencies.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.