Senior Software Engineer (Remote)

Remote and San Francisco, CA /
Engineering /
Full-Time
Summary

Much of the work we do at Generally Intelligent is effectively pure software engineering. Our perspective is that even machine learning research ends up being about 90% software engineering, so even without any prior machine learning knowledge, there is plenty to contribute as a normal software engineer. Even most of our machine learning research tends towards the software engineering side of the spectrum, as we prefer to automate the types of work that academic researchers typically do (ex: tuning hyperparameters, experimenting with small variations in network architectures, etc).


Example projects

Create an automated service for iterating on network architectures. Most of the work is in defining and implementing the search space over network (which are, at the end of the day, just code that defines a graph of computations).
Implement new tasks in Avalon and related environments. We are constantly extending our systems to add newer, more complex tasks on which to train more capable agents.
Optimize existing agents and models to make them lower latency and higher throughput.
Develop improved graphing, debugging, and error handling tools to investigate the myriad ways that neural networks and agents fail.


You are

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


Benefits

Work directly on creating software with human-like intelligence.
Generous compensation, equity, and benefits.
$20K+ yearly budget for self-improvement: coaching, courses, conferences, etc.
Actively co-create and participate in a positive, intentional team culture.
Spend time learning, reading papers, and deeply understanding prior work.


How to apply

All submissions are reviewed by a person, so we encourage you to include notes on why you're interested in working with us. If you have any other work that you can showcase (open source code, side projects, etc.), certainly include it! We know that talent comes from many backgrounds, and we aim to build a team with diverse skillsets that spike strongly in different areas.

We try to reply either way within a week or two at most (usually much sooner).

Learn more about our full interview process here.


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 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.