Generally Intelligent is an AI research company. We help machines learn to understand the world the way humans do. Our mission is to build human-like general machine intelligence and make it safely accessible in order to foster a more abundant, equitable, and creative human society.
We take a first-principles approach to understanding the fundamentals of learning, starting with simple self-supervised networks solving early evolutionary problems, and increasing complexity incrementally.
In this role you’ll work with our researchers to do cutting-edge deep learning research—conducting experiments, creating infrastructure, and developing tooling & visualizations—with the goal of developing more human-like machine intelligence.
If interested, apply here or on Work at a Startup!
We started Generally Intelligent because we believe that software with human-level intelligence will have a transformative impact on the world. We’re dedicated to ensuring that that impact is a positive one.
We have enough funding to last for decades, and our backers include Y Combinator, researchers from OpenAI, and a number of notable individuals who care about effective altruism and scientific research.
Our research is focused primarily on self-supervised and generative video and audio models. We’re excited about opportunities to use simulated data, network architecture search, and good theoretical understanding of deep learning to make progress on these problems. We take a focused, engineering-driven approach to research.
We are on the cutting edge of deep learning - implementing papers, running experiments, and designing architectures.
Our stack is Python, PyTorch, Weights & Biases, and home-grown infrastructure to run experiments across AWS/GCP and our own GPUs.
contractRemoteMachine Learning$80K - $300KAny (new grads ok)
fulltimeSFMachine Learning$100K - $220K0.01% - 1.00%Any (new grads ok)
fulltimeSFMachine LearningAny (new grads ok)