Staff Applied Scientist, Document Vision AI

Relativity; Washington (District of Columbia); Hybrid; USD 197,000 - 295,000; Full time

Job summary

Relativity Applied Science in the DC area is seeking a Staff Applied Scientist to tackle the hardest problems in document vision and set standards across teams.

You will own the science of multimodal document understanding—from vision-language modeling to evaluation standards—build reliable AI systems, mentor senior scientists, and partner with engineering to deploy impactful solutions at scale.

Qualifications

• A master’s or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years of applied AI/ML experience.
• Years of production AI/ML behind you: systems you specified, shipped, and operated at scale, in partnership with the engineers who run them.
• Expert judgment about AI systems: you’ve built them, measured them, and formed views of their limits that hold up under challenge.
• Scientific rigor other people borrow: you supervise the data understanding of teams beyond your own, your evaluations become the template, and your error analyses end debates.
• Software-engineering judgment trusted across teams, and the programming skill to credibly prototype what you propose.
• An ownership mindset that extends across the organization.

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 (ML)

Natural Language

Natural Language Processing (NLP)

Python (Programming Language)

Scientific Research

Education

Master’s or PhD in computer science or quantitative discipline

Job description

Relativity Applied Science in the DC area is seeking a Staff Applied Scientist to tackle the hardest problems in document vision and set standards across teams.

You will own the science of multimodal document understanding—from vision-language modeling to evaluation standards—build reliable AI systems, mentor senior scientists, and partner with engineering to deploy impactful solutions at scale.