Machine Learning Intern at Princeton Legal Tech Spinout
We are looking for a part-time Machine Learning intern to join Claudius’ research team. Applications from undergraduate and graduate students with a background in Computer Science, Data Science, Mathematics, or a related field are welcome. Candidates should have experience in statistical data analysis and familiarity with standard machine learning methods for Data Science.
Industry or research experience as demonstrated through internships, research assistantships and/ or academic publications preferred.
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.