Used Tools & Technologies
Not specified
Required Skills & Competences ?
Algorithms @ 4 Machine Learning @ 4 Hiring @ 4 Leadership @ 4 People Management @ 4 Communication @ 7 Prioritization @ 7 Project Management @ 7Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Interpretability team focuses on mechanistic interpretability—reverse engineering how neural network parameters map to meaningful algorithms—to build a solid scientific foundation for understanding and making neural networks safe.
Responsibilities
- Partner with a research lead on direction, project planning and execution, hiring, and people development
- Set and maintain high standards for execution speed and quality, improving processes for team efficiency
- Coach and support team members for greater impact and career development
- Drive recruiting efforts including planning, process improvements, sourcing, and closing
- Identify and support collaboration opportunities across Anthropic
- Communicate updates and results to other teams and leadership
- Maintain deep understanding of the team's technical work and its AI safety implications
Requirements
- Minimum 2-5 years experience managing highly technical research and/or engineering teams
- Background in machine learning, AI, or related technical field
- Enjoy people management with experience in coaching, mentorship, performance evaluation, career development, and hiring
- Strong project management skills with prioritization and cross-functional collaboration
- Experience managing teams through ambiguity and change
- Quick learner with motivation to understand complex technical topics and research
- Strong verbal and written communication skills
- Passionate about ensuring advanced AI systems have a positive transformative effect on the world
Strong Candidates May Also Have
- Experience scaling engineering infrastructure
- Experience with open-ended, exploratory foundational research agendas
- Familiarity with mechanistic interpretability research
Location and Office Policy
- Role expected to be onsite at San Francisco office 3 days a week
- Hybrid work model requiring minimum 25% office presence
Compensation and Benefits
- Annual salary range: $340,000 - $425,000 USD
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Supportive and collaborative office environment in San Francisco
Additional Information
- Requires at least a Bachelor's degree or equivalent experience
- Visa sponsorship available; subject to role and candidate eligibility
- Inclusive application encouraged regardless of meeting all qualifications
Anthropic values collaborative, high-impact AI research aiming to produce trustworthy AI systems emphasizing communication and team cohesion.