Overview
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. Our vision is to pursue humanist superintelligence, that is designed to remain controllable, aligned, and firmly in service to humanity.
The MAI Futures team is hiring a Member of the Futures Team (Frontier Risk & Alignment) to help shape and realize that vision. The team researches, informs and prepares Microsoft AI and the broader ecosystem for the future of AI and society.
Reporting into the Frontier Risk & Alignment sub-team, you will lead research that anticipates risks of advanced AI systems, translate it into publications, and inform Microsoft’s technical and operational workstreams. The topics addressed by the team include superintelligence preparedness, multi-agent safety, traditional frontier risk vectors, research underpinning humanist AI model alignment and more.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Responsibilities
Produce high-quality deliverables including papers, whitepapers, internal memos, blog posts, and briefings that address frontier safety, alignment, and normative model behaviour.
Inform applied safety and governance, including technical evaluation and mitigation efforts, Microsoft's Frontier Governance Framework, model release readiness, and day-to-day governance.
Collaborate across Microsoft with partner teams spanning technical model teams, Responsible AI, Public Policy, red teaming, and security.
Qualifications
Required/Minimum Qualifications (RQs/MQs)
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.
Additional or Preferred Qualifications (PQs)
Applied experience developing or informing alignment frameworks, model specs, novel evaluations, or technical mitigations.
Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
