About the Role
The fellowship supports innovators and researchers in advancing work related to AI alignment, responsible deployment, and technical excellence, providing access to expert guidance, infrastructure, and collaborative environments.
Responsibilities
- Develop and execute a defined research or technical project
- Collaborate with mentors and team members
- Document progress and findings regularly
- Participate in program events and discussions
- Present work to internal and external audiences
Nice to Have
- Prior publications in relevant fields
- Experience with large-scale models
- Familiarity with AI ethics principles
- Track record of self-directed projects
- Background in interdisciplinary research
Compensation
Competitive salary and benefits package
Work Arrangement
Flexible, including remote and hybrid options
Team
Interdisciplinary team focused on AI safety and long-term impact
Program Focus
- Advancing research in AI safety and alignment
- Supporting technical innovation with ethical considerations
- Encouraging scalable and responsible AI systems
- Fostering collaboration between fellows and experts
- Promoting open inquiry and rigorous evaluation
Eligibility
- Open to individuals with strong technical or research backgrounds
- Candidates should demonstrate independent project experience
- Background in computer science, machine learning, or related fields preferred
- Open to applicants from diverse academic and professional paths
- No formal degree requirement if equivalent experience is shown
Fellowship Structure
- Duration ranges from 6 to 12 months
- Individuals receive dedicated mentorship
- Access to computing resources and technical support
- Opportunities to present work internally and externally
- Regular check-ins to assess progress and goals
Application Process
- Submit a detailed research or project proposal
- Include a curriculum vitae or resume
- Provide examples of prior work or publications
- Shortlisted candidates invited for interviews
- Final selection based on technical merit and alignment with goals
Research Areas
- AI alignment and interpretability
- Machine learning scalability
- Ethical deployment frameworks
- Systemic risk analysis in AI
- Human-AI collaboration models
Support and Resources
- Fellows receive financial support for living expenses
- Access to high-performance computing clusters
- Collaboration with experienced researchers
- Funding for conferences and travel
- Workshops and skill-building sessions
Outcomes
- Published research or technical reports
- Open-source contributions
- Presentations at academic or industry venues
- Potential for continued collaboration
- Pathways to future roles based on performance
Diversity and Inclusion
- Commitment to inclusive selection practices
- Encourages applications from underrepresented groups
- Supports fellows with varied life experiences
- Provides accommodations as needed
- Values different perspectives in problem-solving
Available for qualified international candidates
