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AI Safety Research Scientist

datadotorg

datadotorg

Software Engineering, Data Science
Canada · United States · Remote
Posted on Dec 23, 2024

In A Nutshell

Location

Remote Anywhere in USA or Canada

Job Type

Full-time

Experience Level

Entry-level

Visa Sponsorship

Not Available

Deadline to apply

January 20, 2025

This role focuses on technical AI governance of advanced AI systems – conducting research to understand how different safety approaches work in practice and proposing new ways to implement them effectively.

Responsibilities

Technical Governance Research

  • Lead research that connects technical analysis with policy needs, identifying technical challenges underlying AI/AGI safety discussions.
  • Propose governance interventions that could span different layers – from model safety to supply chain considerations to broader societal resilience measures.
  • Use a multistakeholder organizations’ tools – rigorous analysis, public and private communications, working groups, and convenings – to gather insights from Partners on AI development processes to ensure research outputs are practical and impactful.
  • Author/co-author research papers, blogs, and op-eds with PAI staff and Partners, and share insights at leading AI conferences like NeurIPS, FAccT, and AIES.

Project Management and Stakeholder Engagement

  • Lead technical research workstreams with high autonomy, supporting the broader AI safety program strategy.
  • Build and maintain strong relationships across PAI’s internal teams and Partner community to advance research objectives.
  • Represent PAI in key external forums, including technical working groups and research collaborations.

Strategic Communication and Impact

  • Translate complex technical findings into clear, actionable recommendations for AI safety institutes, policymakers, industry partners, and the public.
  • Support development of outreach strategies to increase adoption of PAI’s AI safety recommendations.

Skillset

  • PhD or MA with three or more years of research or practical experience in a relevant field (e.g., computer science, machine learning, economics, science and technology studies, philosophy).
  • Strong understanding of technical AI landscape and governance challenges, including safety considerations for advanced AI systems.
  • Demonstrated ability to conduct rigorous technical governance research while considering broader policy and societal implications.
  • Excellent communication skills, with proven ability to translate complex technical concepts for different audiences.
  • Track record of building collaborative relationships and working effectively across diverse stakeholder groups.
  • Adaptable and comfortable working in a dynamic, mission-driven organization.

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