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обновлено 11 часов назад

Staff Applied Scientist (Document Vision)

197 000 - 295 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff Applied Scientist (Document Vision): Building multimodal document-understanding systems for legal evidence at the scale of millions of documents with an accent on vision-language modeling, reliability, and defensible evaluation. Focus on solving ambiguous document-vision problems, designing efficacy studies, mentoring scientists, and monitoring flagship AI systems in production.

Location: Illinois, United States; remote/hybrid arrangement

Salary: $197,000–$295,000 annually, plus annual performance bonus and long-term incentives

Company

hirify.global is a data-centered, AI-native legal technology company building AI systems for legal document review and the pursuit of justice.

What you will do

  • Lead scientific work on multimodal document understanding across aiR.
  • Solve complex problems involving scanned pages, photographs, tables, handwriting, stamps, and broken layouts.
  • Develop evaluation methods, modeling patterns, and quality standards for reliable AI systems.
  • Own flagship AI system readiness from problem framing through efficacy studies and production monitoring.
  • Mentor senior and lead scientists through deep technical review.
  • Advise Applied Science leadership on scientific direction and investment priorities.

Requirements

  • Master’s degree or PhD in computer science or another quantitative discipline, or equivalent professional experience.
  • At least 6 years of applied AI/ML experience.
  • Experience specifying, shipping, and operating production AI/ML systems at scale.
  • Strong judgment in AI system development, measurement, reliability, and limitations.
  • Scientific research, data analysis, software engineering, and programming skills, including Python.
  • Ability to define evaluations, perform error analysis, and collaborate with engineering teams.

Nice to have

  • Production experience with vision-language or document-understanding models, layout analysis, OCR-adjacent pipelines, or table and figure extraction.
  • Experience developing information retrieval systems or agentic harnesses.
  • Interest in legal technology and the justice system.
  • Experience building reliable AI systems at scale.

Culture & Benefits

  • Interdisciplinary collaboration between Applied Science, engineering, and legal experts with litigation experience.
  • Work focused on rigorous measurement, reliability, safety, and defensible AI results.
  • Competitive base salary, annual performance bonus, and long-term incentives.
  • Opportunity to build AI products used in large-scale legal investigations.

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