Product Counsel, Gemini Models, DeepMind
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Minimum qualifications:
- J.D., LL.B., equivalent degree, or equivalent experience
- 7 years of attorney-level experience in-house, at a law form, or in government
Preferred qualifications:
- Understanding of key legal and business challenges AI providers face and how to build models accordingly
- Ability to view the opportunities and risks of AI models and systems
- Track record of excellent legal contributions to AI model development as in-house legal counsel at a technology company
- Admitted to the bar or otherwise authorized to practice law (e.g., registered in-house counsel) in the state in which the position is located, and in good standing
About the job
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.
US: $316000 - $351000 (USD) + 25% bonus target + equity + benefits
US: $344000 - $382000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Be the go-to counsel for DeepMind Research and Engineering teams developing and aligning Gemini and related model families. Monitor and interpret emerging laws, regulations, and commitments impacting Gemini’s development and release.
- Establish practical governance frameworks for Gemini model development, spanning training, alignment, evaluations, new capabilities, research, and data.
- Advise technical teams and senior management by translating commitments and mitigations into actionable, technical requirements for implementation across systems.
- Advise senior management on AI research risks and existing governance, developing creative options to mitigate or eliminate risks at scale.
- Collaborate with and advise cross-functional DeepMind and Google groups—including Research, Engineering, Product Management, Security, Privacy, Responsibility, Compliance, and Legal—to adapt governance frameworks for forthcoming regulatory changes across model lifecycles.
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