AI Research Scientist at Docugami

France

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

PhD (or equivalent experience) in areas like computer science, mathematics, statistics, electrical engineering, or related fields
More than 10 years of experience after completing PhD, or equivalent demonstrable industry experience
Deep and up-to-date experience with some of the following: generative artificial intelligence, natural language processing (NLP), machine translation, self-supervised learning, active learning, computer vision (CV), statistics, causal inference, and other related disciplines
Programming skills and familiarity with modern ML frameworks
Research track record demonstrated by top-level journal and conference publications
Strong leadership and problem-solving skills with direct management experience
Passion for technical and scientific excellence
Strong communication skills and capacity to report and disseminate results
Fluent in French and English and resides in France

Responsibilities

Functioning as the head of the Docugami Europe AI research lab and leading a small team of researchers and scientists
Proposing solutions to the different science problems in an evolving environment
Leading collaboration with partners in academia and scientific institutions to stay at the very forefront of R&D in the industry
Collaborating with engineering and product leadership to plan and prioritize a long-term roadmap of science breakthroughs
Working with engineers who will be responsible for integrating and deploying your work in production
Sharing the results of the AI research lab through paper publications, conference engagements, and conducting regular internal science reviews and educational sessions for the Docugami team

Skills

Artificial Intelligence

Multimodal Machine Learning

Natural Language Processing

Machine Learning

AI Research

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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