Accelerate scientific progress by making research easier to discover, reproduce and extend
There has been an explosion of research in machine learning, but it is becoming much harder to keep up with progress. We need to build new tools to deal with problems such as information overload, reproducibility, and inconsistent benchmarking. Papers with Code is a leader in this space. We seek to reduce frictions for discovering, reproducing and extending research, so science can progress more quickly.
Papers with Code operates like a startup within Facebook AI Research. This affords you the best of both worlds: the stability, scale and perks of working within a leading technology company, and the ambition, agility and freedom of working in a startup.
We are always looking for new products to build that will enable a more open and collaborative future for ML. If you are excited about this as well, then do apply!
This is a hybrid role in which you'll be doing both NLP and product work. You will be creating new features on Papers with Code using ML and drawing on your ML experience. You will also be productionizing it - doing the frontend/backend work needed to put it into production and into the hands of our users.