Autonomous Multi-Agent ML Research Scientist

MakerMaker.AI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

MakerMaker.AI is seeking a researcher for autonomous systems focused on multi-agent machine learning. You will design methods and frameworks to improve agent capabilities and lead rigorous experiments in an open-ended research environment.

The ideal candidate has over 5 years of research experience in machine learning, particularly in areas like reinforcement learning, planning, and multi-agent systems. Strong written communication, as well as comfort with ambiguity and experimentation, is essential.

Qualifications

• 5+ years of hands-on research experience in industry or academia.
• Comfort designing and running experiments end-to-end at scale.
• Published research at NeurIPS, ICML, ICLR, or comparable venues.

Responsibilities

• Design methods for agents to improve planning and problem decomposition.
• Develop multi-agent coordination patterns and evaluation frameworks.
• Run rigorous experiments to characterize research outcomes.

Skills

ML research

agents

reinforcement learning (RL)

planning

tool use

multi-agent systems

experiment design

evaluation frameworks

strong written communication

comfort with ambiguity

Education

PhD in ML, statistics, CS, or adjacent

Job description

MakerMaker.AI is seeking a researcher for autonomous systems focused on multi-agent machine learning. You will design methods and frameworks to improve agent capabilities and lead rigorous experiments in an open-ended research environment.

The ideal candidate has over 5 years of research experience in machine learning, particularly in areas like reinforcement learning, planning, and multi-agent systems. Strong written communication, as well as comfort with ambiguity and experimentation, is essential.