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About the Role

We are looking for a Staff Applied Scientist to tackle challenging problems in document vision and establish standards that extend beyond a single team. This role is crucial for advancing our AI capabilities in organizing data, discovering truth, and acting upon it within the legal domain.

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.

Requirements

• 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.

Skills

• Algorithms
• Computer Vision
• Data Analysis
• Data Science
• Deep Learning
• Machine Learning (ML)
• Natural Language
• Natural Language Processing (NLP)
• Python (Programming Language)
• Scientific Research
• Vision-language modeling
• Multimodal document understanding
• Evaluation standards for visual evidence
• Information retrieval systems
• Agentic harnesses
• Reliable AI systems at scale

Location

• Remote
• Hybrid

Work Type

• Remote
• Hybrid

Experience Level

• Staff level
• 6+ years of applied AI/ML experience

Education Level

• Master's degree or PhD in computer science or another quantitative discipline (or equivalent professional experience)

Salary/Compensations

• $197,000 - $295,000

Benefits

• Competitive base salary
• Annual performance bonus
• Long-term incentives

About the Company

• Relativity is a data-centered, AI-native legal technology company.
• Our mission is to Organize data. Discover the truth. Act on it.
• The Applied Science team builds the AI inside Relativity aiR.
• We launched aiR in 2023 and have now run commercial generative AI in the legal domain for more than three years, powering work that includes the largest investigations in the world.
• Our systems operate over more than 93 petabytes of data.
• We are curious, dedicated, and humble.
• We understand complexity, uphold rigor, and measure relentlessly.
• We build and ship with pace.
• We are interdisciplinary collaborators and team players.