Machine Learning / Data ScientistKirkland, Washington, United StatesDocugami 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 problemsYou seek opportunities to see your research deployed in practice to solve real world problems and impact millions of usersYou enjoy working at the very cutting edge of R&DYou want to experience an early stage startupWhat you'll be responsible for:Proposing solutions to the different science problems in an evolving environmentCollaborating with engineering and product leadership to plan and prioritize a long-term roadmap of science breakthroughsWorking with the engineering team who will be responsible for integrating and deploying your work in productionConducting regular internal science reviews and educational sessions for the teamWorking with our partners in academia to stay at the very forefront of R&D in our spaceWhat we look for in a candidate:More than five years of experience after completing PhD, or equivalent demonstrable industry experiencePhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fieldsDeep 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 disciplinesProgramming skills and familiarity of modern ML frameworksResearch track demonstrated by top-level journal and conference publicationsStrong problem-solving and self management skillsPassion for technical and scientific excellenceStrong communication skills and capacity to report and disseminate resultsPerks:Competitive salary with stock optionsHealthcare planCompetitive vacation and leave policyUnlimited in-house healthy snacks & drinksWork closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experienceVibrant and inclusive company culture with frequent team-building eventsAbout Us: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.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.