Data Science Graduate Student Intern

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems. Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications. The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses. Docugami recently established Docugami Europe and has chosen France to be the hub of the new Docugami Europe AI research lab. We are looking for exceptional graduate student interns to join the Docugami Europe AI research lab and work alongside our world-renowned science and engineering teams. The goal of the Docugami Europe AI research lab is to continue to push our cutting-edge technology forward and collaborate with scientific institutions in France and Europe. You will love this job if: You want to work at the very cutting edge of artificial intelligence, machine learning, and natural language processing research You love solving really challenging problems You seek opportunities to see your research deployed in practice to solve real world problems You want to experience an early stage startup environment What you’ll be responsible for: Researching and proposing solutions to the different science problems in an evolving environment Collaborating with partners in academia and scientific institutions Working with engineers who will be responsible for integrating and deploying your work in production Sharing the results of your work through papers, conference engagements, and regular internal science reviews with the Docugami team What we look for in a candidate: Pursuing a Masters or PhD in artificial intelligence, natural language processing, machine learning, data science, or math Experience or strong interest in any of the following: generative artificial intelligence, natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines Programming skills and familiarity of modern ML frameworks Strong problem-solving and time management skills Strong communication skills and capacity to report and disseminate results Passion for scientific and technical excellence Fluent in French and English and resides in France Perks: This position is located in France and will primarily be remote, with the ability to work from anywhere in France Competitive pay Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience Vibrant and inclusive company culture with frequent team-building events About Us: Docugami Europe is a subsidiary of Docugami, Inc. Docugami, Inc. (Docugami) is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. Docugami Europe is headquartered in France. Learn more at www.docugami.com We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.