ML engineers at Papers with Code do cutting-edge NLP to help achieve our goal of indexing all of machine learning. Day-to-day work involves researching new ways to extract and index deep learning information, as well as product work shipping NLP models to our community.
Projects our team members have worked on in the past include:
Some unique perks of working in this role include:
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 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 is a self-contained team within Facebook AI Research. It combines the best of both worlds: the stability, scale and perks of working within a leading technology company, and the agility, ambition 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!