Research Manager, MATS Program

£50-85k

Junior, Mid, Senior and Expert level

London

More information about location

3-5 days a week in office (Old Street, London)

Research programme empowering researchers to advance AI safety

Job no longer available

Research programme empowering researchers to advance AI safety

21-100 employees

B2BArtificial IntelligenceEducation

Job no longer available

£50-85k

Junior, Mid, Senior and Expert level

London

More information about location

3-5 days a week in office (Old Street, London)

21-100 employees

B2BArtificial IntelligenceEducation

Company mission

To empower ambitious, developing AI safety researchers to produce impactful research through facilitating their mentorship, collaboration, and exploration.

Job

Company

Role

Who you are

2 years experience across a combination of the following: Technical research; Governance or policy work; Project management; Research management (not necessarily technical); People management; Community building; Mentoring
Excellent communication skills, both verbal and written
Strong listening skills and empathy
Strong critical thinking and problem-solving abilities
Ability to explain complex concepts clearly and concisely
Proactive and self-driven work ethic
Familiarity with the basic ideas behind AI safety, and a strong alignment with our mission

Desirable

Familiarity with AI safety concepts and research landscape
Experience in ML engineering, software engineering, or related technical fields
Experience in AI policy
Background in coaching or professional development
Entrepreneurial mindset and experience in building systems or infrastructure
PhD or extensive academic research experience

What the job involves

Work with world-class academics & industry mentors to:
People-manage their AI safety mentees
Manage and support AI safety research projects
Facilitate communication and collaboration between scholars, mentors, and other collaborators
Organize and lead research meetings
Work with individual junior AI safety researchers to:
Provide guidance and feedback on research directions and writeups
Connect them with relevant domain experts to support their research
Contribute to the strategic planning and development of MATS:
Spearheading internal projects
Building and maintaining the systems and infrastructure that MATS requires to run efficiently
Providing input into strategy discussions

Salary benchmarks

Our take

MATS (ML Alignment & Theory Scholars) is a crucial initiative focused on advancing AI safety research. Addressing the need to mitigate risks from unaligned AI, MATS allows individuals to make significant contributions in the field.

During a 10-week program, scholars engage in cutting-edge research, attend seminars by top AI safety researchers, and participate in workshops and networking events. This approach fosters academic and professional growth, ensuring scholars receive essential support, including financial backing for their research pursuits.

Since its inception, MATS has received support from prominent organizations like Open Philanthropy and Berkeley Existential Risk Initiative, highlighting its key role in AI safety. Alumni have made significant impacts in industry giants such as Google DeepMind and OpenAI and in leading academic groups at UC Berkeley and MIT.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Company HQ

Central Berkeley, Berkeley, CA

Leadership

Ryan Kidd

(Co-Founder)

Also the Co-founder of the London Initiative for Safe AI. Prior to founding LISA and MATS, they spent a short period as a Research Scholar at Stanford Existential Risks Initiative and over 2 years as a Physics Tutor at The University of Queensland.

https://www.linkedin.com/in/christian-lee-smith/

(Co-Founder)

Also the Co-founder of the London Initiative for Safe AI. Previously worked as an Event Coordinator at The Centre for Effective Altruism, as an Operations Generalist at Redwood Research, and as an Instructor/Organizer at Bit by Bit Coding.

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