Staff Applied Scientist — Document Vision Leader

Relativity; Portland (ME); Hybrid; USD 197,000 - 295,000; Full time

Job summary

Relativity Applied Science seeks a Staff Applied Scientist to tackle the toughest document-vision problems, shaping standards and driving flagship AI systems.

You will lead multi-disciplinary teams, define evaluation methods, mentor scientists, and collaborate with engineering to deliver reliable, scalable AI within a legal-tech context.

The role offers competitive compensation and opportunities to influence the trajectory of AI in the justice domain.

Qualifications

• A master’s or PhD in computer science or a quantitative discipline (or equivalent) and at least 6 years of applied AI/ML experience.
• Production AI/ML experience: systems specified, shipped, and operated at scale with engineers.
• Expert judgment about AI systems: built, measured, and able to discuss limits under challenge.
• Rigorous data understanding, evaluations that become templates, and thorough error analyses.
• Software‑engineering judgment with credible prototyping and cross-team collaboration.

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 degree in Computer Science or related field

Job description

Relativity Applied Science seeks a Staff Applied Scientist to tackle the toughest document-vision problems, shaping standards and driving flagship AI systems.

You will lead multi-disciplinary teams, define evaluation methods, mentor scientists, and collaborate with engineering to deliver reliable, scalable AI within a legal-tech context.

The role offers competitive compensation and opportunities to influence the trajectory of AI in the justice domain.