Hiring tech lead to help solve major historical puzzle

Hiring tech lead to help solve major historical puzzleHiring tech lead to help solve major historical puzzle

Nat Friedman is seeking a full-time solo technical leader to go on a modern day Indiana Jones-style treasure hunt. You will be responsible for starting and running a crowdsourced effort to crack an archaeological puzzle of great historical significance. Success would be global news, could rewrite large chunks of history, and is guaranteed to be a story you will tell your grandchildren.

This is a full-time position for a 3-6 month period (which is about how long we think it will take to crack the puzzle, or at least to set it on a course to be solved). Pay range is $120-250k/yr. Think of this as an adventurous interlude between your more lucrative commercial gigs.

You will act as a mini-CTO, making appropriate technical decisions, staying responsive, and allocating time and resources effectively. This role will require highly effective communication, the ability to make complex code understandable, the ability to write clear technical documentation, the ability to foster and grow an online community, coupled with solid software engineering knowledge.

The ideal candidate will have experience in creating, managing, maintaining, and contributing to open source software projects. A background in working with custom software and data pipelines for scientific research is desirable. Comfort with PyTorch, C++, and OpenCV is a big plus.

In general, we don't care about credentials, but want to see evidence that you can execute. Email bullets points of exceptional work, including links to open source projects, public SDKs, or technical documentation you have created yourself, to [email protected].

Relevant experience you should be sure to mention:

• Tech lead or technical PM on an ML or computer vision product responsible for its initial release
• Creator and maintainer of a successful OSS project in ML or computer vision
• Technical writer with experience documenting and shipping new ML or computer vision SDKs

Your specific tasks will include:

• Turning an existing set of academic research code and data into a repo which newcomers can use to reproduce the work so far
• Converting existing slides, talks, and papers into clear technical documentation to make the project approachable to outsiders
• Setting up the crowdsourcing effort, its mechanics, rules, and fora
• Any other coordination necessary to crack the puzzle