Open Source Tech Lead
San Francisco, CA /
This role is about supporting and promoting our open source projects. When possible, we like to release our software in a way that makes it broadly accessible to the wider research community (ex: our Avalon project). This role is about ensuring that we're able to rapidly respond to issue on those projects, developing them in ways that are most beneficial to the broader community, and ensuring that we have the bandwidth to open source future projects as well.
• Engaging and working closely with other research labs to help adapt our open source libraries to their use cases.
• Reviewing PRs and issues on our open source repositories to promote a lively and active community around our projects.
• Working on open sourcing other internal projects, tools, and future research projects.
• Extending and enhancing our existing projects in ways that users request.
• Passionate about open source software. We want you to be an advocate for our users and the broader open source community.
• Skilled at community engagement and relations. We want to make users of our open source software feel welcomed and included.
• Excited to build partnerships and relationships with other labs and users of our projects.
• A talented software engineer. Most of your time will be spent writing software, and that software will be public. We like our code to reflect well on our organization, so you should take pride in writing high quality software!
• 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).
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.