Fundamental Research Labs | Machine Learning Engineers, Software Engineers, Ex-founders, Researchers | Menlo Park, CA | https://fundamentalresearchlabs.com
We're an applied research company building autonomous, collaborative, and socially intelligent agents. Our small team includes computational neuroscientists, AI researchers, engineers, and builders from MIT EECS, Stanford NLP Group, Google X, Citadel, and beyond.
Our latest product, tryshortcut.ai, just launched over the summer to amazing reception and we’re just getting started.
We…
...do everything from sophisticated Agent orchestration to SFT/RL post-training of foundation models.
...have an organizational structure where product leaders are given great autonomy to experiment and ship fast.
...compensate well above market and provide generous equity.
We’re looking for:
—> Machine Learning Engineers + Applied Research Engineers to bring our research to life.
—> Engineers and ex-founders to build Agent-first products.
—> Researchers to develop frontier technologies in the Agents domain.
Modeling human societies and interaction dynamics is extraordinarily challenging yet potentially transformative—solving it could unlock breakthrough applications in simulation, prediction, and coordination. I believe multi-agent LLM systems with hive-mind architectures are uniquely suited for this because they excel at the very thing that makes human behavior hard to model: probabilistic, unpredictable dynamics.
As an open source contributor to claude-flow and claude-swarm, I've worked on systems where specialized agents (Queen orchestrator, Workers, Scouts, Guardians, Architects) collaborate through:
- Task orchestration with decomposition, distribution, and progress aggregation
- Consensus protocols with voting and tie-breaking for strategic decisions
- Shared memory enabling collective learning and pattern recognition
- Real-time coordination with auto-scaling, load balancing, and fault tolerance
- Self-healing mechanisms that rebalance and recover from failures
This hive-mind approach demonstrates how agent collectives can achieve what isolated agents cannot: parallel problem-solving, emergent intelligence, and robust execution at scale. The probabilistic nature of LLMs—often seen as a limitation—becomes an asset when simulating the inherent unpredictability of human social systems.
I'm eager to contribute to teams working on agent societies, emergence, and collective intelligence. GitHub: https://github.com/Tar-ive
Fundamental Research Labs | Fullstack, Product, + Software Engineers, Ex-founders, Researchers | Menlo Park, CA | https://fundamentalresearchlabs.com
We're an applied research company building autonomous, collaborative, and socially intelligent agents. Our small team includes computational neuroscientists, AI researchers, engineers, and builders from MIT EECS, Stanford NLP Group, Google X, Citadel, and beyond.
Our latest product, tryshortcut.ai, just launched over the summer to amazing reception and we’re just getting started.
We compensate well above market and provide generous equity.
We’re looking for:
—> Engineers and ex-founders to build Agent-first products. We have an organizational structure where product leaders are given great autonomy to experiment and ship fast.
—> Researchers to develop frontier technologies in the Agents domain. We do everything from sophisticated Agent orchestration to SFT/RL post-training of foundation models.
Fundamental Research Labs | Fullstack and Product Engineers, Ex-founders, Researchers | Menlo Park, CA | https://fundamentalresearchlabs.com
We're an applied research company building autonomous, collaborative, and socially intelligent agents. Our small team includes computational neuroscientists, AI researchers, engineers, and builders from MIT EECS, Stanford NLP Group, Google X, Citadel, and beyond.
Our latest product, tryshortcut.ai, just launched a few days ago to amazing reception and we’re just getting started.
We compensate well above market and provide generous equity.
We’re looking for:
—> Product engineers and ex-founders to build Agent-first products. We have an organizational structure where product leaders are given great autonomy to experiment and ship fast.
—> Researchers to develop frontier technologies in the Agents domain. We do everything from sophisticated Agent orchestration to SFT/RL post-training of foundation models.
as companies scale they hire ops folks or bring in a platform (notion etc) to fix it but in my experience knowledge / info changes so quickly that it can be fruitless to keep it up to date. basic organization and structure is important however. I'd love for someone to actually solve this issue at scale :)
We're an applied research company building autonomous, collaborative, and socially intelligent agents. Our small team includes computational neuroscientists, AI researchers, engineers, and builders from MIT EECS, Stanford NLP Group, Google X, Citadel, and beyond.
Our latest product, tryshortcut.ai, just launched over the summer to amazing reception and we’re just getting started.
We…
...do everything from sophisticated Agent orchestration to SFT/RL post-training of foundation models.
...have an organizational structure where product leaders are given great autonomy to experiment and ship fast.
...compensate well above market and provide generous equity.
We’re looking for:
—> Machine Learning Engineers + Applied Research Engineers to bring our research to life.
—> Engineers and ex-founders to build Agent-first products.
—> Researchers to develop frontier technologies in the Agents domain.
https://jobs.ashbyhq.com/fundamentalresearchlabs