RESEARCHER (GENERAL)

The role

You will design experiments and develop methods to drive how autonomous research agents make decisions. You will work across the full ML research stack on evolving research problems.

What you will do

• Identify research questions to change agent capabilities
• Design and run experiments end-to-end
• Develop new methods in RL, LLMs, agentic systems, multi-agent coordination, or search
• Work with engineers to move methods from research code into production
• Read deeply across the literature
• Help shape how the team picks problems

Required qualifications

• Strong track record of ML research at the frontier: RL, LLMs, agentic ML, multi-agent systems, evaluation, or adjacent
• 5+ years of hands-on research experience in industry or academia
• Comfortable designing experiments and running them at scale
• Strong written communication
• Fluent in PyTorch, Jax or equivalent
• Comfortable working with large-scale training infrastructure
• Bias toward shipping research rather than handing it off
• Comfortable with ambiguity
• Published research at NeurIPS, ICML, ICLR, COLM, RLC, or comparable venues

Nice to have

• PhD in ML, statistics, computer science, or adjacent
• Open-source contributions to ML research infrastructure
• Experience with agentic systems, tool use, long-horizon planning, or multi-agent coordination

About the company

makermaker.ai is a small, well-funded team building autonomous research agents for recursive self-improvement.