Senior Psychologist Or Sociologist (AI Psychology & Safety)

TL;DR

Senior Psychologist or Sociologist (AI Safety): Researching and developing practical guidelines and safety frameworks for advanced AI models with an accent on promoting positive outcomes and mitigating psychological harms. Focus on identifying and analyzing potential psychological risks, designing model guardrails, and integrating psychological insights into the AI development lifecycle.

Location: Onsite in Mountain View, California, US

Salary: $197,000–$291,000 USD + bonus + equity + benefits

Company

hirify.global is a team of scientists, engineers, and machine learning experts working to advance artificial intelligence for public benefit and scientific discovery, prioritizing safety and ethics.

What you will do

• Research and develop practical guidelines and safety frameworks informed by general psychological principles for AI model behavior.
• Convert these frameworks into concrete evaluation protocols and red-teaming artifacts, advising on safety fine-tuning.
• Stay informed about the latest research and emerging trends in child psychology and Generative AI's impact on young people.
• Proactively identify and research potential psychological risks and ethical considerations arising from AI interactions with children.
• Work closely with AI researchers, ML engineers, and product managers to integrate psychological insights into the model training and deployment lifecycle.
• Conduct thorough reviews of relevant academic literature in psychology, education, technology, human-computer interaction, and AI ethics.

Requirements

• PhD in Psychology (Clinical, Developmental, Social, Cognitive), Human-Computer Interaction, Cognitive Science, or related fields.
• Significant research experience in one or more of the following areas: child development, adolescent psychology, attachment theory, social-emotional learning, or Online Safety.
• Experience working in a tech company, AI lab, or product-focused environment.
• Familiarity with the AI development lifecycle (e.g., training, fine-tuning, evaluation) and concepts such as Reinforcement Learning from Human Feedback (RLHF).
• Strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.
• Ability to translate ambiguous psychological concepts into concrete technical requirements.
• English: B2 required.
• US work authorization required.

Culture & Benefits

• Committed to diversity of experience, knowledge, backgrounds and perspectives.
• Offers equal employment opportunities regardless of sex, race, religion, belief, ethnic or national origin, disability, age, or other protected basis.
• Provides accommodation for disabilities or additional needs.
• Includes bonus, equity, and benefits in the compensation package.
• Focuses on widespread public benefit and scientific discovery, with safety and ethics as the highest priority.