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Salary
≈ $130k – $302k per year (Estimated)
Location
In office (Mountain View)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
Google DeepMind is the artificial intelligence research and engineering division of Alphabet, formed in 2023 by merging the London laboratory founded in 2010 with the Google Brain team. It builds frontier foundation models such as the Gemini family, generative media systems including Veo and Imagen, and scientific tools like AlphaFold, whose protein structure predictions earned a share of the 2024 Nobel Prize in Chemistry. The unit pairs long-horizon research on reinforcement learning and general intelligence with product delivery across Google Search, Workspace, Android and Google Cloud.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $252000 - $351000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Structure, draft, and discuss complex commercial agreements, and supporting product and feature launches.
  • Assist in providing impactful legal advice to a range of functional areas within the DeepMind for the smooth and efficient running of the business on a day-to-day basis, including advising on contractual structuring, conducting legal research, and advising executive stakeholders on legal risks.
  • Support the Legal team’s initiatives to manage and track OKRs, coordinate legal processes, and report on key legal metrics in support of high-level team strategies.
  • Lead complex commercial negotiations with major enterprise and consumer partners to enable the integration of next-generation AI applications across third-party surfaces and connected ecosystems.

Qualifications

Minimum qualifications:

  • JD, LL.B., equivalent degree, or equivalent practical experience.
  • 7 years of attorney-level experience in government, in-house, or at a law firm.
  • Experience advising globally on a range of commercial and research matters, including intellectual property, data, and privacy issues in the AI space.

Preferred qualifications:

  • Experience in legal contributions to AI research and development as in-house legal counsel at a technology company.
  • Experience in advising research, engineering and product teams, specifically in the frontier AI space, security and safety.
  • Experience in garnering alignment across cross-functional stakeholders and teams within large technology companies.
  • Understanding of opportunities and risks of AI models and systems, including AI agents.
  • Track record of contributions to AI products, agents or systems, and have a balanced view of the opportunities and risks of those AI products/systems.
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