Distyl AI

applied AI technology

AppliedAIResearcher,MultiAgentSystems

$150–250k San Francisco, California, United States FULL TIME Remote Friendly
The Brief

“Applied AI Researcher, Multi-Agent Systems at Distyl AI. Skills: Multi-Agent Systems, AI utilization in enterprise, foundational advancements in how agents coordinate, reason and collaborate. designing architectures in which multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes.. build systems that structure communication, route information, and coordinate decision-making across agents operating with different views of the problem.”

What You'll Achieve.

100% production deployment success rate for our customers; run a profitable business

Industry & Context.

applied AI technology
Problems you'll solve

solve problems that require structured interaction across multiple reasoning processes.

What They're Looking For.

Must Have

Built or studied systems where multiple agents collaborate through structured communication, delegation, critique, or iterative coordination., Experience with agent orchestration, communication protocols, evaluator agents, or systems where multiple agents interact to exchange information, critique reasoning, and coordinate decisions over time., Experience with research in related fields, such as multi-agent reinforcement learning (MARL), graph neural networks (GNNs), knowledge graphs, mixed-initiative planning, etc., Programming and Data Analysis Skills

Nice to Have

PhD preferred, specific ML framework experience, cloud platform certs

What You'll Do.

designing architectures in which multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes.

build systems that structure communication

and coordinate decision-making across agents operating with different views of the problem.

investigate the interaction patterns that govern how agents collaborate.

study how agents exchange information

critique and refine each other’s reasoning

and coordinate execution across complex workflows.

identify the mechanics behind effective communication

in effect establishing the design language for how systems of agents can operate as cohesive

high-performing teams

with capabilities that arise from interaction rather than individual performance.

How You'll Work.

Team & Collaboration

multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes.; systems where multiple agents collaborate through structured communication, delegation, critique, or iterative coordination.; systems where multiple agents interact to exchange information, critique reasoning, and coordinate decisions over time.; how agents coordinate, reason and collaborate.

Communication Scope

structured communication; effective communication

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