Staff Applied Scientist - Multimodal Document Vision Remote

Relativity; Denver (CO); Hybrid; USD 197,000 - 295,000; Full time

Job summary

Relativity is hiring a Staff Applied Scientist to tackle hard, multimodal document vision problems and set cross-team standards. You will lead problem framing, evaluation, and production readiness for flagship AI systems, working with engineers and senior scientists in a fast-paced, data-driven environment.

The role emphasizes expert judgment of AI systems, scientific rigor, and an ownership mindset, with mentorship to grow the team and influence strategic direction for Applied Science at

Qualifications

• Master's or PhD in computer science or a quantitative field, with 6+ years of applied AI/ML experience.
• Extensive production AI/ML experience, shipped and operated at scale, in partnership with engineers.
• Expert judgment about AI systems; you’ve built them, measured them, and formed views of their limits that hold up under challenge.
• Scientific rigor; you supervise data understanding of teams beyond your own, evaluations become the template, and error analyses end debates.
• Software-engineering judgment trusted across teams, with the ability to credibly prototype what you propose.
• 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

Natural Language

Natural Language Processing

Python

Scientific Research

Education

Master's or PhD in computer science or quantitative discipline

Job description

Relativity is hiring a Staff Applied Scientist to tackle hard, multimodal document vision problems and set cross-team standards. You will lead problem framing, evaluation, and production readiness for flagship AI systems, working with engineers and senior scientists in a fast-paced, data-driven environment.

The role emphasizes expert judgment of AI systems, scientific rigor, and an ownership mindset, with mentorship to grow the team and influence strategic direction for Applied Science at