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Research Manager in AI Safety

On-site Full-time From $100K/yr

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Experience Level

Manager

Qualifications

Candidates should possess robust technical research experience coupled with insights into governance and policy research. Strong communication skills and the ability to foster collaborative relationships are essential.

About the job

We are open to hiring for this role at various levels of expertise. For the right candidate, this position can be structured as a Senior Research Manager, with compensation tailored to experience and the anticipated scope of work, potentially exceeding the listed pay rate.

About the Cambridge Boston Alignment Initiative

The Cambridge Boston Alignment Initiative (CBAI) is a nonprofit research organization dedicated to promoting research and education aimed at facilitating a safe and beneficial transition to advanced AI systems. Our efforts include generating original research and accelerating AI safety initiatives through our fellowship programs.

Our first summer fellowship cohort has already published significant papers at the Mechanistic Interpretability Workshop at NeurIPS and had accepted papers at ICLR. Additionally, some fellows have transitioned to roles at Goodfire and Redwood Research. Following a successful launch in 2025, we are poised for rapid expansion in 2026, with plans to host multiple fellowship cycles (Fall, Spring, and Summer), double our fellowship cohort, and quadruple our team size.

Refer candidates to us and earn $5,000 if they are hired.

The Role

In this role, you will collaborate closely with research fellows and their esteemed mentors—renowned researchers from Cambridge and beyond—to support pioneering work on interpretability, AI control, formal verification for provably safe AI, evaluations, and various aspects of AI governance and policy. We are looking for research managers with experience in both technical research and governance and policy research.

Research Management Responsibilities (0.7 FTE)

  • Conduct regular one-on-one meetings with fellows to provide constructive feedback on research progress, assist in overcoming challenges, and coach them through issues such as debugging research methodologies and preparing literature scaffolds, as well as supporting data collection, analysis, and methodology development for experiments and hypothesis testing.

  • Offer feedback on fellows' research and help cultivate an environment that encourages rigorous approaches among them.

  • Connect fellows with relevant resources, literature, and opportunities available during and after the fellowship program.

  • Facilitate communication between fellows and their mentors to ensure a supportive research ecosystem.

About Cambridge Boston Alignment Initiative

The Cambridge Boston Alignment Initiative is at the forefront of ensuring a safe and beneficial transition to advanced AI systems. Our commitment to producing original research and fostering educational initiatives makes us a pivotal player in the AI safety landscape.

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