Teams at MakerMaker.AI

Research and develop autonomous multi-agent systems that plan, decompose tasks, choose experiments, evaluate outputs, and recover from failures. Design methods, coordination patterns, and evaluation frameworks for open-ended research workflows; run rigorous experiments, ship methods to production, and drive team research direction.

Write and optimize GPU kernels for training and inference, profile workloads with hardware counters, co-design kernels with researchers, integrate and benchmark kernels in training/serving stacks, and maintain kernel quality while sharing expertise across the team.

Design and run end-to-end ML experiments for autonomous research agents. Develop methods across RL, LLMs, multi-agent coordination, evaluate and scale results, and collaborate with engineers to productionize research.