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 Meta 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.
Send your CV to firstname.lastname@example.org for an exploratory application.