Chief Document Understanding Architect

4 weeks ago


San Francisco, California, United States Jobot Full time

Transformative AI Research Scientist Opportunity

We are a pioneering Seed-stage startup revolutionizing the Generative AI & LLM space with our cutting-edge platform. Our mission is to empower developers building innovative AI applications.

Job Summary

We seek a visionary Founding Applied AI Research Scientist to join our team and spearhead document understanding model development. As a key member, you will design, train, and evaluate complex models for extracting data from documents, including tables, forms, and structured text.

Key Responsibilities:

  • Develop and optimize multimodal visual Q&A models to enable our platform to understand and answer questions based on both textual and visual information.
  • Collaborate with cross-functional teams to integrate OCR technologies and solidify our position as a leader in the AI research community.
  • Design and implement document understanding models using transformer-based architectures, such as BERT, LayoutLM, T5, or DocFormer.
  • Conduct thorough benchmarking and evaluation of document-specific datasets and evaluation techniques.

Requirements

  • 4+ years of experience working with AI/ML models, specifically in document understanding, computer vision, and multi-modal learning.
  • Proven expertise in training and evaluating models for complex document extraction, including structured data like tables and forms.
  • Deep NLP knowledge with experience working with transformer-based models.
  • Solid programming skills in Python and proficiency in at least one deep learning framework.
  • Ph.D. or Bachelor's degree in a quantitative field such as Computer Science, Mathematics, or equivalent industry experience.

What We Offer

  • Competitive salary range: $180,000 - $210,000 per year
  • Excellent medical, dental, and vision benefits
  • 401k match
  • Meaningful equity
  • Unlimited PTO and paid holidays
  • Company offsites
  • Bonus
  • Remote flexibility

Apply now by sending us your resume.


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