Staff AI Scientist, Multimodal Document Vision

Relativity; Maryland; Hybrid; USD 197,000 - 295,000; Full time

Job summary

Relativity is seeking a Staff Applied Scientist to tackle our hardest document-vision problems and set high standards for evaluation and reliability. You will own multimodal research, drive productionizable AI systems at scale, and mentor senior scientists in a fast-paced, collaborative environment.

You will work with engineers and scientists to advance vision-language models, OCR-adjacent pipelines, and data-centric AI for large-scale legal tech applications.

Qualifications

• Master's or PhD in computer science or another quantitative discipline (or equivalent professional experience).
• 6+ years of applied AI/ML experience.
• Experience shipping and operating AI/ML systems at scale in partnership with engineers.
• Strong judgment about AI systems and their limits with rigorous evaluation.
• Software-engineering judgment and ability to prototype ideas.

Responsibilities

• Take on the hardest, most ambiguous problems and produce clarity: a well-specified approach, an evaluation that settles the question, a system that ships.
• Set standards beyond your team: evaluation methods, modeling patterns, and quality bars adopted by other scientists.
• Own readiness for flagship AI systems, from problem framing through efficacy studies and production monitoring, in partnership with engineering.
• Multiply the team through deep review and mentorship of senior and lead scientists.
• Advise Applied Science leadership on where the science is going and where we should invest.

Skills

Algorithms

Computer Vision

Data Analysis

Data Science

Deep Learning

Machine Learning

Natural Language

Natural Language Processing (NLP)

Python

Scientific Research

Education

Master's or PhD in Computer Science or quantitative discipline

Job description

Relativity is seeking a Staff Applied Scientist to tackle our hardest document-vision problems and set high standards for evaluation and reliability. You will own multimodal research, drive productionizable AI systems at scale, and mentor senior scientists in a fast-paced, collaborative environment.

You will work with engineers and scientists to advance vision-language models, OCR-adjacent pipelines, and data-centric AI for large-scale legal tech applications.