Machine Learning / Data Scientist

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 is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for experienced researchers to work with our luminary science advisors on major scientific breakthroughs.

You will love this job if:

• You love solving really challenging problems
• You seek opportunities to see your research deployed in practice to solve real world problems and impact millions of users
• You enjoy working at the very cutting edge of R&D
• You want to experience an early stage startup

What you’ll be responsible for:

• Proposing solutions to the different science problems in an evolving environment
• Collaborating with engineering and product leadership to plan and prioritize a long-term roadmap of science breakthroughs
• Working with the engineering team who will be responsible for integrating and deploying your work in production
• Conducting regular internal science reviews and educational sessions for the team
• Working with our partners in academia to stay at the very forefront of R&D in our space

What we look for in a candidate:

• More than five years of experience after completing PhD, or equivalent demonstrable industry experience
• PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fields
• Deep and up-to-date experience with some of the following: natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines
• Programming skills and familiarity of modern ML frameworks
• Research track demonstrated by top-level journal and conference publications