Research Engineer - Novel AI Platforms for Multiscale Alignment
Future of Life Organizationsover 1 year ago
Remote, WorldwideSenior
Base Salary
$140k - $210k/yr
Responsibilities
- Research and develop AI systems and platforms for safety research, internal tooling, and community support.
- Design and implement agent execution environments and interaction platforms.
- Develop optimization algorithms for multi-objective and cooperative AI systems.
- Create conflict-resolution and preference-aggregation mechanisms for multi-agent settings.
- Implement testing frameworks and example environments to validate theoretical approaches.
- Build middleware for secure and efficient agent communication.
- Architect reusable software components for AI alignment research.
- Document system architectures, APIs, and implementation details.
- Collaborate on technical publications and research presentations.
- Contribute to practical implementations and theoretical AI alignment research.
- Support evaluation and refinement of research prototypes.
Requirements
- MS or PhD in Computer Science, AI, or a related field, or equivalent experience.
- Experience with dynamic plan recognition, activity recognition, dynamic multicriteria decision making, multi-agent systems, or AI builder platforms.
- Strong programming skills in Python and Java.
- Ability to independently drive technical projects from concept through implementation.
- Familiarity with AI alignment, control, safety, or related research techniques.
- Experience developing middleware, frameworks, or platforms.
- Broad experience in machine learning and AI systems architecture.
- Literacy in semi-formal semantics.
- Strong communication and technical documentation abilities.
- Preferred qualifications include AI alignment or safety publications, multi-objective optimization, contextual pragmatics, constraint satisfaction, novel multi-agent architectures, LLM integration, distributed systems, security and privacy methods for multi-party computation, game theory, social choice theory, metacognitive systems, metareasoning, dynamical cognitive approaches, open-source contributions, and systems managing competing objectives.
About Future of Life Organizations
Future of Life Organizations is a nonprofit research center focused on AI safety, alignment, and governance, producing policy analyses, technical research, and risk‑mapping tools for policymakers, AI developers, and risk managers. Headquartered in Calabasas, CA, it is fiscally sponsored by Social & Environmental Entrepreneurs, a California 501(c)(3), and collaborates with NGOs and academic partners on global AI risk management.