Legal Counsel, DeepMind

Google; Mountain View (WY); On-site; USD 217,000 - 314,000; Full time

Job summary

Google DeepMind is seeking a legal professional to advance AI research and product development while ensuring global regulatory compliance. You will collaborate with engineering, research, and product teams to draft, negotiate, and manage complex commercial agreements and data/privacy matters.

The role emphasizes advising on content partnerships, licensing, AI safety considerations, and equitable risk management across the organization.

Qualifications

• JD, LL.B., equivalent degree, or equivalent practical experience.
• 3 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.

Responsibilities

• Provide impactful legal advice to AI research and development teams.
• Draft, structure, and discuss complex commercial agreements associated with DeepMind’s research, product, and operations.
• Support initiatives across DeepMind’s efforts and coordinate legal processes.
• Act as a bridge between engineering and legal by translating technical safety requirements into scalable contract terms.

Education

JD/LL.B./equivalent degree

Job description

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: $217000 - $314000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google (https://www.google.com/about/careers/applications/benefits/).

Minimum qualifications:

• JD, LL.B., equivalent degree, or equivalent practical experience.


• 3 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.

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 in any of the following: frontier AI space, national security, cybersecurity, data licensing for AI purposes, AI safety, life sciences, materials, or AI within education and healthcare.


• Experience in content licensing, or AI safety or cybersecurity red-teaming, or testing agreements.


• Understanding of opportunities and risks of AI models and systems, including AI agents.


• Structure, draft, and discuss complex commercial agreements associated with DeepMind’s research, product, and operational activities, primarily focusing on content partnerships, collaboration agreements, technology Research and Development (R&D) agreements, and services agreements.


• Assist in providing impactful legal advice to a range of functional areas within 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 key initiatives across all GDM’s efforts.


• 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.


• Act as a critical bridge between engineering and legal by understanding deeply technical safety and security requirements and transforming them into scalable legal frameworks and agreement terms.