About Generally Intelligent

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.

About the role

Skills: Python

As a remote software engineer, you’ll work very closely with a senior member of our research team on cutting-edge deep learning infrastructure and tooling towards the goal of creating general human-like machine intelligence. We're looking for someone who's super excited to build tools (ex: experiment tracking tools, model debugging methods, automated hyperparameter optimizers, developer tooling, etc).

If interested, apply here or on Work at a Startup!

Example projects

Implement a self-supervised network using contrastive and reconstruction losses.
Create a library on top of PyTorch to enable efficient network architecture search.
Open source internal tools.
Implement networks from newly published papers.
Work on tools for simple distributed parallel training of deep neural networks.
Develop more realistic simulations for training our agents.
Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc).
Create visualizations to help us deeply understand what our networks learn and why.

You are

Very comfortable writing Python.
Excited to work on open source code.
Passionate about engineering best practices.
Self-directed and independent.
Excellent at getting things done.
[Bonus] Familiar with PyTorch and training deep neural networks.

Benefits

Work directly on creating software with human-like intelligence
Very generous compensation
Flexible working hours
Work remotely with a team that understands remote work
Focus on coding and nothing else: no expectation that you attend standup, spend time doing sprint planning, etc.
Work with other great programmers who care about their craft. e.g: we have deterministic formatting, zero linter errors, wide type coverage with MyPy, and even our deep learning code has tests.

About us

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 freely pursue our research goals over the next decade, and our backers include Y Combinator, researchers from OpenAI, Astera Institute, and a number of private individuals who care about effective altruism and scientific research.

Our research is focused on agents for digital environments (ex: browser, desktop, documents), using RL, large language models, and self supervised learning. 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.

Technology

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.

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