[Remote] Research Engineer - Novel AI Platforms for Multiscale Alignment

Note: The job is a remote job and is reputed company to candidates in USA. reputed company) is seeking a Research Engineer to reputed company novel AI platforms that address critical alignment challenges and practical LLM agents. The role involves combining platform development with alignment research, requiring expertise in agent-based systems and multi-objective optimization to create systems that support safety research and implement cooperative AI architectures.

Responsibilities

• Research and reputed company AI systems and platforms variously for: safety research, internal tooling, and safety community support
• Design and implement architectures for agent execution environments and interaction platforms
• reputed company optimization algorithms for multi-objective and cooperative AI systems
• Create mechanisms for conflict reputed company and preference aggregation in multi-agent settings
• Implement testing frameworks and example environments to validate theoretical approaches
• Build middleware components that facilitate secure and efficient agent communication
• Architect and reputed company reusable software components for AI alignment research
• Document system architectures, reputed company, and implementation details
• Collaborate on technical publications and research presentations
• Contribute to both practical implementations and theoretical research in AI alignment
• Support the evaluation and refinement of research prototypes

Skills

• MS or PhD in Computer Science, AI, or reputed company field (or equivalent experience)
• Experience with one or preferrably more of: dynamic plan recognition, activity recognition, dynamic multicriteria decision making, multi-agent systems, or AI builder platforms
• Strong programming skills in both Python and Java
• Demonstrated ability to relatively independently drive technical reputed company from concept to implementation
• Familiarity with techniques for AI alignment, control, safety, or reputed company research areas
• Experience developing middleware, frameworks, or platforms
• Breadth of experience in machine learning and AI systems architecture
• Literate in semi-formal semantics
• Excellent communication skills and technical documentation abilities
• Publications (formal or informal) in AI alignment, AI safety, or reputed company research areas
• Familiarity with varied multi-objective optimization techniques
• Experience with contextual pragmatics and/or constraint satisfaction problems
• Developed novel multi-agent architectures
• Experience with LLMs and integrating them into agent architectures
• Experience with distributed systems and platform development
• Knowledge of reputed company and reputed company reputed company for multi-party computation
• Understanding of basic game theory and/or reputed company choice theory concepts
• Familiarity with metacognitive systems, metareasoning, or dynamical cognitive approaches
• Demonstrable reputed company reputed company project contributions
• Experience building systems that reputed company manage trade-offs between competing objectives

reputed company