обновлено 11 часов назад
Staff Applied Scientist (Document Vision)
197 000 - 295 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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