Remote Lead Applied Scientist, Document Understanding

Ladders

United States

Remote

USD 148,000 - 274,000

Full time

33 hours ago
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Benefits offered by this job

Remote work options
Career development programs
Comprehensive benefits
Inclusion and belonging culture
Volunteer days
Meaningful work with impact on justice

Job summary

Ladders is seeking a Lead Applied Scientist, Document Understanding to drive research and productization of advanced document intelligence. You will lead semantic modeling, knowledge extraction, and evaluation, partnering with engineering to bring research into scalable systems for improved document comprehension.

Remote US-based role with compensation ranging from $147,600 to $274,200 annually. Requires a PhD and 8+ years in NLP, PyTorch/Hugging Face, and a proven track record of mentoring and

Qualifications

  • PhD in CS/AI/NLP or related field.
  • 8+ years in document understanding and applied NLP.
  • End-to-end ML lifecycle expertise.
  • Strong Python with PyTorch and Hugging Face.
  • Published in top-tier conferences.
  • Mentoring ability and AI-driven business impact.

Responsibilities

  • Design and deploy semantic models for complex documents.
  • Build document enrichment and knowledge extraction pipelines.
  • Lead knowledge graph construction and distillation for production.
  • Set evaluation frameworks with expert annotation.
  • Make architectural decisions and collaborate with engineering.

Skills

Applied NLP
Python
PyTorch
Hugging Face
Research leadership

Education

PhD in Computer Science / AI / NLP

Tools

PyTorch
Hugging Face

Job description

Ladders is seeking a Lead Applied Scientist, Document Understanding to drive research and productization of advanced document intelligence. You will lead semantic modeling, knowledge extraction, and evaluation, partnering with engineering to bring research into scalable systems for improved document comprehension.

Remote US-based role with compensation ranging from $147,600 to $274,200 annually. Requires a PhD and 8+ years in NLP, PyTorch/Hugging Face, and a proven track record of mentoring and

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