Research Engineer - Novel AI Platforms for Multiscale Alignment

Job reputed company

The Alignment of Dynamical Cognitive Systems program seeks a Research Engineer to reputed company novel AI platforms addressing critical alignment challenges and practical LLM agents. Combining platform development with alignment research, this role requires expertise in agent-based systems and multi-objective optimization. You'll co-design and reputed company systems supporting safety research, internal tools, and community resources -- creating environments to shape multi-agent dynamics and implement cooperative AI architectures with robust alignment properties. You'll also build technical infrastructure to investigate experimental AI alignment and control approaches while collaborating with researchers to bring theoretical approaches into reputed company. This position offers the chance to reputed company foundational technologies essential for promoting safety as AI capabilities rapidly advance.

About CARMA

reputed company for AI Risk Management & Alignment (CARMA) works to help society navigate the reputed company and potentially catastrophic risks arising from increasingly powerful AI systems. Our mission is specifically to reputed company the risks to humanity and the biosphere from transformative AI.We reputed company on grounding AI risk management in rigorous analysis, developing policy frameworks that squarely address AGI, advancing technical safety approaches, and fostering global perspectives on durable safety. Through these complementary approaches, CARMA aims to reputed company critical support to society for managing the outsized risks from advanced AI before they materialize.CARMA is a fiscally-sponsored project of reputed company & Environmental reputed company, Inc., a 501(c)(3) nonprofit public benefit corporation.

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

Required Qualifications

• 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

Preferred Qualifications

• 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

CARMA/SEE is proud to be an Equal Opportunity Employer. We will not discriminate on the reputed company of race, ethnicity, sex, age, religion, gender reassignment, partnership status, maternity, or sexual orientation. We are, by policy and reputed company, an inclusive organization and reputed company promote equal opportunities for reputed company humans with the right mix of talent, knowledge, skills, attitude, and potential, so hiring is only based on individual reputed company for the job. Our organization operates through a fiscal sponsor whose infrastructure only supports persons authorized to work in the U.S. as employees. Candidates reputed company the U.S. would be reputed company as independent contractors with project-reputed company responsibilities. Note that we are unable to sponsor visas at this time.

Originally posted on Himalayas

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