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Chief Technology Officer (CTO)

Fathom
San Francisco, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 6 days ago
Free

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Strategic Influence and Thought Leadership

Represent Fathom and the MRO in public and private forums, advocating for the organization's goals and promoting the adoption of standards and robust audits and evaluations

Provide strategic guidance for the MRO's development and long-term sustainability through the lens of technical requirements and forward-looking AI capabilities

Maintain a forward-looking perspective to continuously refine technical strategy, ensuring that the organization remains at the forefront of AI innovation and safety

Identify the technical needs of the MRO and recruit talent and/or initiate projects (such as RFPs for specific research) to fulfill these needs

Contribute to Fathom's overall technical vision and strategy beyond the MRO project

Technical Governance Leadership

Form and engage with an independent board of AI experts and industry leaders to establish gold standards of care for AI companies

Lead efforts to set gold standards in AI safety and evaluations, including: Mapping standards to current law Identifying the most impactful gold standards for reasonable care Determining best practices to assess adherence to standards Developing new evaluation or auditing capabilities when needed

Mapping standards to current law

Identifying the most impactful gold standards for reasonable care

Determining best practices to assess adherence to standards

Developing new evaluation or auditing capabilities when needed

Establish frameworks for collecting critical information from AI companies to track standards

Develop "audit the auditor" mechanisms to ensure accountability and maintain integrity in standards evaluation

Translate technical concepts into policy recommendations that are implementable and effective

Technical Partnerships and Ecosystem Development

Lead initiatives to stimulate the creation and growth of a technical marketplace for evaluations, safety organizations, tools, and research

Oversee grantmaking programs to fill gaps in AI safety and evaluation capabilities and catalyze innovation

Build and maintain strong relationships with AI industry leaders, startups, academic institutions, and international bodies

Recruit top technical talent to work on Fathom and MRO initiatives

Identify strategic partnership opportunities to enhance Fathom's technical capabilities and impact

Research, Collaboration, and Interdisciplinary Engagement

Serve as a key liaison among technical experts in academia, industry, and public policy

Provide technical expertise and authorship for reports and papers, including mapping legal requirements to technical requirements

Drive collaborative research and pilot projects that validate and refine gold standards for AI safety

Engage diverse stakeholders to integrate emerging insights and technical innovations into standards development

Collaborate with the research team to ensure technical accuracy and relevance of Fathom's publications

Education and Experience

Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field

10+ years of experience in AI research and development, with progressive leadership responsibilities

Demonstrated experience in developing technical standards, evaluation frameworks, or governance mechanisms

Experience leading technical teams and initiatives in complex, multi-stakeholder environments

Technical Expertise

Deep expertise in AI research and development, with a strong track record in machine learning, deep learning, or related fields

Comprehensive understanding of current AI safety challenges, evaluation methodologies, and technical benchmarks

Proven ability to translate cutting-edge research into actionable standards and policies

Experience with technical auditing processes and evaluation frameworks

Leadership and Strategy

Demonstrated experience in developing and leading governance processes in rapidly evolving technological landscapes

Ability to anticipate future trends in AI and translate insights into strategic initiatives

Experience building and managing high-performing technical teams

Track record of effectively communicating complex technical concepts to diverse audiences

Ecosystem Building and Collaboration

Experience fostering technical ecosystems, driving partnerships, and managing grantmaking or investment programs

Strong network within the AI research, industry, and policy communities

Proven ability to build consensus across interdisciplinary teams

Exceptional communication skills and ability to engage with industry leaders, academic experts, and policymakers

Governance and Ethics

Experience establishing processes for oversight and accountability to ensure integrity in decision-making

Understanding of ethical considerations in AI development and deployment

Commitment to responsible AI innovation and governance

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