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GenAI Technical Engagement Lead, DeepMind - Google Careers
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GenAI Technical Engagement Lead, DeepMind
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corporate_fareDeepMindplaceMountain View, CA, USA
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Minimum qualifications:
Bachelor's degree in Computer Science, Data Science, Machine Learning, Law, Public Policy or equivalent practical experience.
8 years of experience in either technical product/engineering/researcher roles, or policy/regulatory-facing roles.
Experience with foundational models development lifecycles, model capabilities, training data architectures, and model evaluation and deployment.
Experience working with cross-functional teams in technical engineering/research organizations.
Preferred qualifications:
Advanced degree in a technical discipline or public policy.
Experience designing, leading, or implementing high-stakes, complex projects from the ground up.
Experience engaging with regulators and policymakers about the issues at the heart of AI model development, including data use, model architecture, safety, security, and compute.
Track record of excellent contributions to AI model development as a technologist, researcher, public policy manager, or communications specialist.
About the job
The GenAI Technical Engagement team within Google DeepMind is responsible for translating complex technical model-development roadmaps to support frontier AI public policy and regulatory efforts, working collaboratively with cross-functional partners at Google to advance actionable advocacy routes to harmonize public policy efforts with frontier model development and deployment. In this role, you will work at the intersection of research, engineering, public policy, regulatory, product, and operational teams to anticipate emerging regulations (such as those related to AI model development, training data, copyright, safety, and security) and harmonize them with Google DeepMind's technical and model roadmap. As the technical subject matter expert, you'll collaborate closely with public policy, regulatory, and frontier AI model development teams to identify key technical needs and goals, steer advocacy strategies early, co-design policy playbooks and develop external responses to emerging regulations in ways that meet Google's model development and deployment objectives.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $277000 - $308000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
Bridge the gap between AI development and regulation by translating complex AI model development plans into actionable public policy responses that you co-design with Google teams.
Steer cross-functional advocacy. Partner directly with Google cross-functional teams who are managing public policy responses to ensure advocacy and policy frameworks and playbooks evolve in lockstep with model development roadmaps.
Advise senior management on the status of emerging, novel regulatory developments, including impact, and recommended solutions based on model development plans.
Serve as a technical subject matter expert for policy and regulatory teams, providing guidance to internal teams and public policymakers on AI concepts such as training data disclosures and model transparency.
Establish metrics to measure the success and impact of advocacy campaigns on model development roadmap, generating actionable insights for campaign optimization.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.
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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
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