Staff Applied Scientist Document Vision
Core
Building multimodal document understanding systems to read evidence (scanned pages, handwriting, tables) for legal investigations and lawsuits.
Role type
Staff Applied Scientist (Document Vision)
Builds
Production AI systems for document vision and evaluation standards within Relativity aiR
Domain
Legal technology, Computer Vision, Multimodal AI
Deliverable
production ML models
Required skills
Computer Vision, Deep Learning, Natural Language Processing (NLP), Machine Learning, Algorithms, Data Analysis, Scientific Research, Python
Preferred skills
Vision-language modeling, Document-understanding models, Information retrieval systems, Agentic harnesses, Reliable AI systems at scale
Responsibilities
Solve ambiguous problems in document vision and produce clarity, Set evaluation standards and modeling patterns adopted across teams, Own readiness for flagship AI systems from framing to production monitoring, Mentor senior and lead scientists, Advise leadership on science direction and investment
Seniority
Staff, hands-on IC with mentorship and organizational impact