Psychologist or Sociologist - AI Psychology & Safety, ReDI - US, MTV - FTC

Snapshot

We are seeking a Senior Psychologist or Sociologist to join the Responsible Development & Innovation team (ReDI) at Google Deep Mind. The candidate must have a strong general understanding of core psychological principles and the ability to leverage internal and external expertise in AI-related areas (e.g., cognitive, behavioural) as well as the ability to translate these into technical safety protocols for AI models.

An extensive working knowledge of developmental psychology is particularly important for supporting our work.

Artificial Intelligence could be one of humanity’s most useful inventions. At Google Deep Mind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

As part of its remit, the Responsible Development & Innovation team (ReDI) team proactively identifies, researches, and addresses emerging ethical and safety challenges in AI. Collaborating with internal and external experts, the team develops and refines practical guidelines and policies to ensure Google Deep Mind’s technology aligns with our AI Principles. When necessary, the team conducts original research to inform these pioneering guidelines and policies.

The team’s relevant output includes:

Guidelines for research or governance teams in developing or deploying technology.

Artifacts, processes, or coordination mechanisms supporting the creation and implementation of these guidelines and policies within Google Deep Mind and beyond, such as academic papers, evaluation frameworks, and cross-company workshops.

As a Senior Psychologist or Sociologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google Deep Mind’s values. You will use your intellectual agility and deep expertise in psychology and technical understanding of the AI model development pipeline to proactively identify, research and address potential ethical and well-being implications of our AI technologies.

You will use this research to design model guardrails. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction and AI safety. The focus of this role is on developing internal guidelines and informing our AI development process.

• Model Safety & Psychology Guidelines:
  Research and develop practical guidelines and implementable safety frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental) and empirical data to define model behavior in ways that promote positive outcomes and mitigate potential psychological harms.
• Eval Design & Implementation::
  Convert these frameworks into concrete evaluation protocols and red-teaming artifacts . Collaborate with model development teams to advise on safety fine-tuning, defining key metrics, designing prompt sets, and establishing criteria for significant results.
• Emerging AI Risks:
  Stay informed about the latest research and emerging trends in child psychology, developmental science, and the evolving landscape of Generative AI and its potential impact on young people.
• Risk Identification and Analysis:
  Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and children, drawing upon a combination of your expertise in child development, attachment theory, social-emotional learning, and related fields, as well as emerging AI capabilities.
• Technical & Interdisciplinary
  
  Collaboration:
  
  Work closely with AI researchers, ML engineers, and product managers across Google Deep Mind to integrate psychological insights directly into the model training and deployment lifecycle.
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