Member of Futures Team (frontier Risk & Alignment)

Microsoft Microsoft · Big Tech · London, United Kingdom +1 · Technical Program Management

Research role focused on frontier AI safety, alignment, and societal implications, aiming to anticipate risks and inform technical and operational workstreams for advanced AI systems.

What you'd actually do

  1. Identify the most pressing open research questions in frontier risk and alignment, and lead world-class, time-sensitive research with direct industry relevance.
  2. Produce high-quality deliverables including papers, whitepapers, internal memos, blog posts, and briefings that address frontier safety, alignment, and normative model behaviour.
  3. Define normative alignment positions, contributing to value alignment approaches and providing philosophical grounding for frontier model behaviour.
  4. Inform applied safety and governance, including technical evaluation and mitigation efforts, Microsoft's Frontier Governance Framework, model release readiness, and day-to-day governance.
  5. Collaborate across Microsoft with partner teams spanning technical model teams, Responsible AI, Public Policy, red teaming, and security.

Skills

Required

  • Doctoral degree in a related field, OR another advanced degree with equivalent research experience.
  • Research experience in frontier AI safety or governance, agentic AI safety, alignment, philosophical and ethical aspects of AI, or institutional preparedness for advanced AI.
  • Deep expertise in frontier risk vectors, frameworks, regulation, or evaluation and mitigation pathways.
  • Track record of writing and thought leadership (academic papers, books, journalism, etc.) on AI and society.
  • Sufficient technical understanding of AI.
  • Proven ability to collaborate with technical stakeholders and inform mitigation efforts.
  • Strong verbal and written communication skills.

Nice to have

  • Peer-reviewed publications in leading venues.
  • Experience with frontier safety governance or research in leading labs, think tanks, or academic institutions.
  • Applied experience developing or informing alignment frameworks, model specs, novel evaluations, or technical mitigations.
  • Research spanning both empirical and conceptual work on the future impact of AI.

What the JD emphasized

  • lead research that anticipates risks of advanced AI systems
  • superintelligence preparedness
  • multi-agent safety
  • humanist AI model alignment
  • frontier risk vectors
  • Doctoral degree in a related field, OR another advanced degree with equivalent research experience.
  • Research experience in one or more of: Frontier AI safety or governance; Agentic AI safety, collaboration, or societal implications; Alignment; Philosophical and ethical aspects of AI; Institutional preparedness for advanced AI.
  • Deep expertise in frontier risk vectors, frameworks, regulation, or evaluation and mitigation pathways.
  • Track record of writing and thought leadership across formats, including academic papers, books or chapters, journalism, or other public-facing work on AI and society.
  • Sufficient technical understanding of AI, and a proven ability to collaborate with technical stakeholders, anticipate risks grounded in technical developments, and inform mitigation efforts.
  • Peer-reviewed publications in leading venues.

Other signals

  • frontier models
  • superintelligence preparedness
  • multi-agent safety
  • humanist AI model alignment