MakerMaker.AI
RESEARCHER (GENERAL)
San Francisco · On-site · Full-time · Posted May 18, 2026
- Experience
- 5+ years of hands-on research experience in industry or academia.
About the job
Designs and runs end-to-end machine learning research to improve autonomous research agents, then works with engineers to bring promising methods into production.
What you'll do
- Identify high-impact research questions and help shape the team’s problem selection.
- Design, implement, run, evaluate, and write up experiments; develop methods across relevant ML areas.
- Collaborate with engineers to move promising research methods into production and bring insights from the literature.
What they ask for
- Strong track record of frontier ML research in RL, LLMs, agentic ML, multi-agent systems, evaluation, or an adjacent area.
- Hands-on research experience and ability to design and run experiments at scale.
- Strong written communication and fluency in PyTorch, Jax, or equivalent; comfort with large-scale training infrastructure.
- Published research at NeurIPS, ICML, ICLR, COLM, RLC, or comparable venues; bias toward shipping research and comfort with ambiguity.
Nice to have
- PhD in ML, statistics, computer science, or an adjacent field.
- Open-source contributions to ML research infrastructure, or experience with agentic systems, tool use, long-horizon planning, or multi-agent coordination.
Tools
PyTorch, Jax
AI focus
Research on autonomous research agents for recursive self-improvement, including methods for decision-making, experimentation, and multi-agent systems.
Model-written summary · the original posting is authoritative