Applied AI Researcher, Multi-Agent Systems

Key Responsibilities

• Design 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.
• 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, delegation, and coordination, 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.

What We Require

• 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.
• Excited about making foundational advancements in how agents coordinate, reason and collaborate.
• Proven Track Record of Research Results: Whether you’ve published in top journals, posted amazing work on twitter, or somewhere else we want to see what you've done.
• Uses AI Every Day: Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, and Perplexity to accelerate your workflow.
• Strong Programming and Data Analysis Skills: While you might not consider yourself a software engineer you need to be able to build prototypes of your ideas and then perform the experiments to prove the effectiveness to a F500 Head of AI.

What We Offer

• The base salary range for this role is $150K – $250K, depending on experience, location, and level.
• In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package.
• 100% coverage of medical, dental, and vision insurance for employee and dependents.
• Flexible time off.
• Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources.
• Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot.
• Complimentary in-office lunches and snacks provided.
• Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems.
• Ownership of high-impact projects across top enterprises.
• A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence.