Organizational AI Researcher, DeepMind - Mountain View or London

Google DeepMind; Mountain View (CA); On-site; USD 232,000 - 252,000; Full time

Job summary

Google DeepMind in Mountain View is seeking a senior research professional to design and execute a portfolio of multi-method studies. You will balance scientific rigor with the pace of a frontier AI lab and ensure findings inform AI capability development.

This role involves collaborating with product and engineering, translating complex empirical results into actionable guidance for leadership and teams, and co-authoring high-impact research.

Qualifications

• Master's degree or equivalent practical experience as required.
• 4 years designing and executing multi-method research (RCTs, field studies, quasi-experiments).
• 2 years researching AI, collective intelligence, or tech transformation on organizations.

Responsibilities

• Design and execute a portfolio of multi-method research projects spanning generative, experiential, computational, and experimental methodologies.
• Define and uphold the team's experimental governance and scientific quality standards.
• Drive research that closes the loop between empirical insights and AI capability development.
• Collaborate across DeepMind technical teams and external partners to manage open questions at the intersection of AI and organization science.
• Co-author high-impact research papers, white papers, and executive syntheses.

Skills

Multimethod research

RCTs

Field studies

Organizational outcomes

Education

Master's degree in organizational behavior or related field

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; London, UK.

Minimum qualifications

• Master's degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience.
• 4 years of experience designing and executing multi-method research (e.g., RCTs, field studies, quasi-experiments) to measure cognitive, behavioral, and organizational outcomes.
• 2 years of experience researching the impact of AI, collective intelligence, or technological transformation on organizations.

Preferred qualifications

• PhD degree in Organizational Behavior, Management Science, Behavioral Science, Human-Computer Interaction, Computational Social Science, or equivalent practical experience
• Experience partnering with product/engineering teams to develop science-backed tools or interventions.
• Track record of collaborations with cross-functional leadership in research and product areas.
• Demonstrated ability to translate complex empirical findings into actionable strategies for executive leadership and engineering teams.

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 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: $232000 - $252000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Design and execute a portfolio of multi-method research projects spanning generative, experiential, computational, and experimental methodologies, balancing scientific excellence with the pace of a frontier AI lab.
• Define and uphold the team's experimental governance and scientific quality standards, including research ethics, data privacy, and reproducibility protocols.
• Drive research that closes the loop between empirical insights and AI capability development, ensuring behavioral findings directly inform the design and evaluation of new tools, simulations, and benchmarks.
• Collaborate across DeepMind technical teams — and, where relevant, with leading external academic partners — to manage open questions at the intersection of AI and organization science.
• Co-author high-impact research papers, white papers, and executive syntheses that combine scientific authority with broad organizational relevance.

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 Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .