Machine Learning / Data Scientist at Docugami

Kirkland, Washington, United States

Docugami Logo
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

Key technologies and capabilities for this role

NLPMachine 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 Machine Learning/Data Scientist role?

The salary is competitive, with stock options included.

What skills and experience are required for this role?

Candidates need a PhD or equivalent in computer science, mathematics, statistics, or related fields, more than five years of post-PhD experience, deep expertise in areas like NLP, self-supervised learning, or statistics, programming skills with modern ML frameworks, top-level publications, and strong problem-solving and communication skills.

What is the company culture like at Docugami?

Docugami fosters a high-caliber environment with world-renowned science and engineering teams, luminary science advisors, collaboration with academia, and a focus on technical and scientific excellence alongside major breakthroughs.

What makes a strong candidate for this position?

A strong candidate will have a PhD with over five years of experience, demonstrated research excellence through top publications, deep expertise in NLP or related ML areas, and strong skills in problem-solving, self-management, and communication.

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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