Natural Language Processing Internship at Princeton Legal Tech Spinout
We are looking for an intern with NLP expertise to join Claudius’ research team. Applications from undergraduate and graduate students with experience in training machine learning models in PyTorch, as well as familiarity with state-of-the-art NLP models are welcome. Candidates should have interests that lie at the nexus of academia and industry. Industry or research experience as demonstrated through internships, research assistantships and/or academic publications preferred.
As many of us at Claudius are students, we are sensitive to competing demands and make sure that our internships are flexible: this is a part-time role (with minimum ~10 hour/ week commitment) and you can set your own hours.
As the R&D branch of Claudius Legal Intelligence, Claudius Research is tackling some of Legal AI’s greatest challenges. Our researchers focus on foundational scientific breakthroughs that aim on powering the future of law and improving Claudius’ products through AI innovation.
Claudius Research seeks to keep the parent company firmly rooted in the academy. While there is much hype in Legal AI -- and in AI more broadly -- Claudius focuses on scientific advancement that develops scalable and reproducible solutions for Legal AI. Our goal is to transform the legal practice through the development of systems that integrate multimodal data streams, learn efficiently, and are able to transcend simple tasks or siloed domains. At the same time, Claudius is committed to ethical innovation. As AI transforms the legal space, ethical implications are among the key research questions to consider. Therefore, algorithmic fairness and trustworthy Legal AI are cornerstones of our research mission.
Our current research areas include predictive modeling, algorithmic fairness and natural language processing.
The interview process will include traditional interviews and also a technical interview conducted by our Chief Scientist.