Machine Learning / Data Scientist at Docugami

Kirkland, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

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, 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

Responsibilities

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

Skills

NLP

Machine Translation

Self-supervised Learning

Active Learning

Computer Vision

Statistics

Causal Inference

ML Frameworks

Docugami

Generates insights from business documents using AI

About Docugami

Docugami focuses on using generative AI to enhance business documents. The company utilizes Large Language Models (LLMs) that have been trained on millions of business documents to transform unique documents into structured data. This process allows users to generate reports, insights, and new documents based on their existing content, while also ensuring data security and reducing the risk of errors. Unlike many competitors, Docugami's solutions are designed to provide immediate benefits to users without the need for extensive IT resources or training. The goal of Docugami is to deliver valuable AI-driven insights and document management solutions across various industries, including Commercial Insurance, Real Estate, Technology, and Professional Services.

Kirkland, WashingtonHeadquarters

2017Year Founded

$9.7MTotal Funding

SEEDCompany Stage

Enterprise Software, AI & Machine Learning, Real EstateIndustries

11-50Employees

Benefits

Competitive salary with stock options

Healthcare plan

Competitive vacation and leave policy

Vibrant and inclusive company culture with frequent team-building events

Healthy snacks stipend

Unlimited in-house healthy snacks & drinks

Competitive vacation and leave policy

Risks

Increased competition from OpenAI and Cohere could impact market share.

Reliance on partnerships with LangChain and LlamaIndex poses integration risks.

Focus on niche markets like Commercial Insurance may limit growth if demand decreases.

Differentiation

Docugami specializes in generative AI for business documents using unique LLMs.

The company converts business documents into data for insights and secure data streams.

Docugami's KG-RAG approach outperforms other RAG methods with hierarchical semantic chunking.

Upsides

Integration with Microsoft 365 Copilot enhances document management capabilities.

AI-driven contract analysis tools present expansion opportunities in legal document management.

Growing demand for AI in healthcare suggests a new vertical for document transformation.

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