[Expression of Interest] Research Manager, Interpretability

About the role

As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years.

• Partner with a research lead on direction, project planning and execution, hiring, and people development
• Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively
• Coach and support team members to have more impact and develop in their careers
• Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing
• Help identify and support opportunities for collaboration with other teams across Anthropic
• Communicate team updates and results to other teams and leadership
• Maintain a deep understanding of the team's technical work and its implications for AI safety

Key Responsibilities

• Partner with a research lead on direction, project planning and execution, hiring, and people development
• Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively
• Coach and support team members to have more impact and develop in their careers
• Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing
• Help identify and support opportunities for collaboration with other teams across Anthropic
• Communicate team updates and results to other teams and leadership
• Maintain a deep understanding of the team's technical work and its implications for AI safety

Qualifications

• Experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams
• A background in machine learning, AI, or a related technical field
• Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles
• Strong project management skills, including prioritization and cross-functional coordination and collaboration
• Managed technical teams through periods of ambiguity and change
• A quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research
• A strong communicator both in speaking and in writing
• Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well

Preferred Qualifications

• Experience scaling engineering infrastructure
• Experience working on open-ended, exploratory research agendas aimed at foundational insights
• Some familiarity with our work and mechanistic interpretability

Role-Specific Location Policy

This role is expected to be in our SF office for 3 days a week. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary $350,000—$500,000 USD

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us!