Staff Applied Scientist, Multimodal Document Vision

Relativity; Virginia Beach (VA); Hybrid; USD 197,000 - 295,000; Full time

Job summary

Relativity is a data-centered, AI-native legal technology company. We’re seeking a Staff Applied Scientist to tackle the hardest document-vision problems and set cross-team standards.

You will lead the science, supervise evaluations, and mentor senior scientists while partnering with engineering to deliver reliable AI systems at scale. The role requires a master’s or PhD in a quantitative field (or equivalent) and 6+ years of applied AI/ML experience, with a track record of shipping and

Qualifications

• Requires a master’s or PhD in CS or a quantitative field, or equivalent experience.
• Extensive practical AI/ML experience and ability to lead research.
• Proven ability to define standards and drive reliability across systems.
• Strong software engineering judgment and mentorship skills.

Responsibilities

• Tackle the hardest, most ambiguous problems in the portfolio and deliver a clear, shippable solution.
• Define evaluation methods and modeling patterns adopted across teams.
• Own readiness for flagship AI systems from framing to production monitoring.
• Mentor senior scientists and multiply impact across the org.
• Advise Applied Science leadership on future science investments.

Skills

Algorithms

Computer Vision

Data Analysis

Data Science

Deep Learning

Machine Learning (ML)

Natural Language

Natural Language Processing (NLP)

Python (Programming Language)

Scientific Research

Education

Master’s degree or PhD in CS or quantitative discipline

Tools

Vision-Language models

OCR pipelines

Layout analysis

Document understanding

PyTorch

TensorFlow

Job description

Relativity is a data-centered, AI-native legal technology company. We’re seeking a Staff Applied Scientist to tackle the hardest document-vision problems and set cross-team standards.

You will lead the science, supervise evaluations, and mentor senior scientists while partnering with engineering to deliver reliable AI systems at scale. The role requires a master’s or PhD in a quantitative field (or equivalent) and 6+ years of applied AI/ML experience, with a track record of shipping and