Staff Applied Scientist – Multimodal Document Vision

Relativity; Chicago (IL); Hybrid; USD 197,000 - 295,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Relativity is seeking a Staff Applied Scientist to tackle document-vision challenges at scale, building reliable AI systems for legal workflows. You will lead multimodal modeling, establish evaluation standards, and mentor senior scientists while partnering with engineering to deploy flagship AI systems that read and interpret massive document corpora.

You will influence the direction of applied AI, drive production readiness, and help ensure the integrity and defensibility of AI-assisted legal

Qualifications

• Master’s or PhD in computer science or quantitative field (or equivalent professional experience).
• At least 6 years of applied AI/ML experience, with production systems.
• Strong judgment about AI systems: proven implementations, measurements, and limits.

Responsibilities

• Take on the hardest, most ambiguous problems in the portfolio and produce clarity: a well-specified approach, an evaluation that settles the question, a system that ships.
• Set standards that reach beyond your team: evaluation methods, modeling patterns, and quality bars adopted by scientists you’ve never worked with.
• 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

Python

Scientific Research

Education

Master’s or PhD in CS or quantitative field

Job description

Relativity is seeking a Staff Applied Scientist to tackle document-vision challenges at scale, building reliable AI systems for legal workflows. You will lead multimodal modeling, establish evaluation standards, and mentor senior scientists while partnering with engineering to deploy flagship AI systems that read and interpret massive document corpora.

You will influence the direction of applied AI, drive production readiness, and help ensure the integrity and defensibility of AI-assisted legal