AI Safety Manager
US Preferred | Remote-Friendly (Select Locations)
We are looking for an AI Safety Manager to advance our work at the forefront of AI safety and/or security.
As AI Safety Manager, you will support our workstreams on safety evaluations and safety frameworks, as well as our work related to chemical, biological, radiological and nuclear (CBRN) risks. You will work with the Head of AI Safety to ensure the regular delivery of rigorous and scientifically-informed outputs across our AI safety workstreams, and to drive forward consensus viewpoints on threat models, safety evaluations, capability and/or risk thresholds, and risk mitigations within our AI safety portfolio.
As an AI Safety Manager, you will be adept at managing multiple projects simultaneously and executing quickly on high-level guidance. You will work with the Head of AI Safety and senior leadership to organize and facilitate workshops with domain experts from our member firms, as well as manage the drafting, revising, and publication of best practice guidelines and research briefs.
About the FMF
The Frontier Model Forum is an industry non-profit dedicated to the safe development and deployment of frontier AI models. By drawing on the technical and operational expertise of our members, we aim to 1) identify best practices for frontier AI safety and support the development of frontier AI safety standards, 2) advance AI safety research for frontier models, and (3) facilitate information sharing about frontier AI safety among government, academia, civil society and industry.
At the Frontier Model Forum (FMF), we value diversity of experience, knowledge, backgrounds and perspectives, harnessing these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Key responsibilities
- Working with Forum leadership to implement a portfolio of timely research workshops and outputs
- Help organize multiple working groups and research-oriented initiatives, delivering against a range of research objectives
- Research and draft memos for use as structured read-aheads for working group meetings and for potential publication on the FMF’s website
- Conduct and write comprehensive literature reviews on various AI safety research topics
- Draft and compile research surveys on various topics for circulation within expert networks
Additional responsibilities
- Provide basic administrative support for meetings and opportunities for internal and external collaboration on research programs
- Help to coordinate expert workshops, liaising with key experts and researchers from FMF firms and non-member organizations
- Take part in informational expert interviews across member firms and external stakeholders, helping to memorialize areas of convergence and divergence among emerging safety practices
- Monitor AI safety literature and research, staying abreast of key developments in safety evaluations, safety frameworks, and related topics
About You
You may be a good fit for AI Safety Manager if you:
- Have a clear passion for advancing frontier AI safety and actively seek opportunities to expand your domain knowledge
- Have strong writing skills, adept at drafting, revising, and finalizing collaborative research documents
- Thrive at organizing, facilitating, and synthesizing expert workshops and research convenings
- Have experience supporting teams and leadership in fast-paced and constantly changing environments
You may be a strong candidate if you:
- Have a MS or advanced training in a STEM field or computational social science
- Have experience documenting or analyzing safety evaluations on advanced general-purpose AI models, including automated benchmarks, redteaming exercises, and uplift studies
- Have familiarity with modern deep learning architectures, including natural language processing, computer vision, and/or multi-modal models
To Apply
Please send a cover letter and a resume to careers@frontiermodelforum.org. Applications will be considered on a rolling basis.