---
title: 'Machine Learning / Data Scientist at Docugami'
canonical: 'https://feeny.ai/job/machine-learning-data-scientist-docugami-kirkland-washington-jg0ekeywc90c'
type: 'job'
last_seen: '2026-09-04'
---

# Machine Learning / Data Scientist at Docugami

- **Company:** Docugami
- **Location:** Kirkland Washington, United States
- **Posted:** 2020-02-11
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/docugami/jobs/4016974003

## Job description

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
- Strong problem-solving and self management skills
- Passion for technical and scientific excellence
- Strong communication skills and capacity to report and disseminate results

Perks:

- Competitive salary with stock options
- Healthcare plan
- Competitive vacation and leave policy
- Unlimited in-house healthy snacks & drinks
- 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 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.

Learn more at [www.docugami.com](http://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.

## About Docugami

## Company Overview
- **One-liner**: Docugami transforms complex business documents (contracts, invoices, clinical trials, etc.) into structured, actionable data using a patented AI-powered knowledge-graph platform.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Kirkland, Washington, United States (Seattle area)
- **Founded**: March 2018
- **Founders**: Jean Paoli (CEO, co-inventor of XML) together with four other senior engineering leaders from Microsoft, including Andrew Begun (Chief Science Officer)

## Core Business
- **Primary industry/industries**: Document AI / Intelligent Document Processing; serves Legal, Life Sciences & Healthcare, Commercial Insurance, Real Estate, Construction, Financial Services, and more.
- **Target customers**: B2B – mid and large organizations handling high volumes of complex documents.
- **Mission or purpose statement**: “Transform how businesses create and execute critical business documents to radically improve productivity, compliance and insight.”

## Products & Services
- **Docugami Platform (SaaS)**: An agentic system that ingests entire documents (PDFs, Word, etc.) and uses NLP, image recognition, and declarative markup to build a Knowledge Graph. Users can extract terms, clauses, line items, endpoints, and other data, then trigger automated workflows.
- **Specific Solutions**:
  - **Contracts** – Pull terms, obligations, deadlines from MSAs, SOWs, NDAs; automate renewals and compliance.
  - **Invoices** – Capture line items, totals, vendor info; sync with ERP; achieve 70% faster processing.
  - **HR Documents** – Structure resumes, employee files, benefits for talent and compliance management.
  - **Clinical Trial & Research Docs** – Extract endpoints, adverse events, protocols for faster reporting.
  - **ACORD Forms (Insurance)** – Structure forms for risk analysis.
  - **Property Records** – Extract data from real estate documents.
- **Integrations**: SharePoint, Box, Dropbox, Zapier, Power Automate, Automation Anywhere, Excel, Word.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: **$10M seed funding** (February 2020)
- **Notable Investors/Partners**: SignalFire (lead), NextWorld Capital, Grammarly; Board includes Bob Muglia (former Snowflake CEO, former Microsoft Office/Azure head) and Ilya Kirnos (CTO/co-founder of SignalFire).
- **Growth Signals**: Focus on enterprise scalability (handles millions of documents); serves industries like life sciences, commercial insurance; expanding sales team (Head of Sales role listed). No headcount growth figures publicly disclosed.

## Competitive Advantages
- **Patented Document AI** that builds Knowledge Graphs across full documents, not just a few predefined fields.
- **Purpose-built models** (not trained on generic internet text) ensuring higher accuracy, security, and compliance (SOC 2, GDPR).
- **No vendor lock-in** – customers retain full data ownership.
- **Founding team** with deep Microsoft pedigree (co-inventor of XML, former leaders of multiple billion-dollar businesses).

## Strategic Focus
- **Agentic system** for business users – enabling non-technical teams to automate complex document workflows.
- Expanding into verticals such as life sciences, commercial insurance, real estate, and financial services.
- Improving AI accuracy autonomously through user feedback and business rules.
- Seamless integration with existing enterprise ecosystems (SharePoint, ERP, RPA tools).

## Why Work Here
- **Culture**: “Vibrant and inclusive company culture” with values like “Diverse & Inclusive”, “Respectful & Honest”, “Experiment & Be Guided”, “Have Fun & Carry Your Load”. Frequent team-building events.
- **Work model**: Hybrid/office presence in Kirkland, WA, and also a location in France (AI Research Scientist). Remote possibilities implied by global outlook.
- **Engineering culture**: Cross-functional team of highly motivated folks working on cutting-edge AI (NLP, image recognition, knowledge graphs); focus on solving real problems at scale.
- **Perks**: Competitive pay, opportunity to shape a growing platform, impact across multiple industries.

## Sources
1. [docugami.com](https://www.docugami.com/)
2. [About Us – Docugami](https://www.docugami.com/about-us)
3. [Careers at Docugami](https://www.docugami.com/careers)
4. [Greenhouse Job Board – Docugami](https://job-boards.greenhouse.io/docugami)
5. [Meet the Team – Docugami](https://www.docugami.com/team)

## Other roles at Docugami

- [Data Science Graduate Student Intern](https://feeny.ai/job/data-science-graduate-student-intern-docugami-france-rkcp087bgrdm) — France
- [AI Research Scientist](https://feeny.ai/job/ai-research-scientist-docugami-france-j8vm508mv9ex) — France
- [Head of Sales](https://feeny.ai/job/head-of-sales-docugami-kirkland-washington-v40zqwgd3et7) — Kirkland Washington, United States
- [Data Science PhD Intern](https://feeny.ai/job/data-science-phd-intern-docugami-kirkland-washington-w1q927p9m3ee) — Kirkland Washington, United States
- [Back End Software Engineer](https://feeny.ai/job/back-end-software-engineer-docugami-kirkland-washington-0aqeqk8af1wb) — Kirkland Washington, United States
- [Software Engineering Intern](https://feeny.ai/job/software-engineering-intern-docugami-kirkland-washington-5brhrrea9r2e) — Kirkland Washington, United States