Data Science PhD Intern at Docugami

Kirkland, Washington, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math
Experience or strong interest in natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and related disciplines
Familiarity with modern ML frameworks
Strong problem-solving and time management skills
Strong communication skills and the ability to report and disseminate results
Passion for scientific and technical excellence

Responsibilities

Researching and proposing solutions to scientific problems in an evolving environment
Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
Working with the engineering team to integrate and deploy research work in production
Conducting regular internal science reviews

Skills

Key technologies and capabilities for this role

Natural Language ProcessingMachine TranslationSelf-Supervised LearningActive LearningComputer VisionStatisticsCausal InferenceML Frameworks

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What is the salary for this Data Science PhD Intern role?

The position offers competitive pay, but specific details are not provided.

What are the key requirements for this internship?

Candidates must be pursuing a PhD in AI, NLP, ML, data science, or math, have experience or strong interest in NLP and related fields, familiarity with modern ML frameworks, and strong problem-solving, time management, and communication skills.

What is the company culture like at Docugami?

Docugami has a vibrant and inclusive company culture with frequent team-building events, and interns work closely with a cross-functional team of highly motivated individuals with diverse experience.

What perks are offered for this internship?

Perks include competitive pay and a healthy snacks stipend.

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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