Relativity · 8 hours ago
Staff Applied Scientist
Relativity is building a world-class Applied Science team to innovate intelligent systems in the legal domain. The Staff Applied Scientist will contribute to the development of AI models that enhance document review processes, ensuring they are scalable, auditable, and effective.
ComputerEdiscoveryEnterprise SoftwareInformation TechnologyLegalLegal TechSoftware
Responsibilities
Write code that solves real customer problems and scales cleanly… Built to be easy to ship, operate, and maintain
Collaborate with fellow Applied Scientists… And with our Engineers, Product Managers, Designers, and Customers
Design and execute statistically sound experiments… Then automate them into reusable benchmarks
Rapidly build AI- and ML-powered prototypes… Then turn them into reliable, scalable production models
Select the right model for each task… Be it a decision tree or a frontier LLM
Stay grounded in evidence… And open to change
Qualification
Required
6–10+ years of professional experience in ML, Applied Science, or a closely related area
Hold a Master's or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Applied Math) OR equivalent professional experience
Proven ability to move fast without breaking everything: you know how to prototype—and how to simplify for production
Comfortable reading and applying research; skeptical enough to validate the results
Experienced with a range of modeling techniques—from classic ML to large-scale generative models
Familiar with modern MLOps tooling (e.g., containers, workflow orchestration, telemetry, deployment patterns and experimentation)
Capable communicator, able to explain complex ideas to technical and non-technical stakeholders alike
Humble, curious, adaptable. Not afraid of failure. Not afraid to lead. Not afraid to ask questions. End-to-end owner – able to understand and learn about our problem space, devise solutions and bring them to market alongside our engineering, product and support organizations
Strong Python Programmer, experienced in various data and machine learning libraries (e.g. numpy, pytorch, scikit-learn, pyspark)
Preferred
Algorithms
Computer Vision
Data Analysis
Data Science
Deep Learning
Machine Learning (ML)
Natural Language
Natural Language Processing (NLP)
Python (Programming Language)
Scientific Research
Benefits
Annual performance bonus
Long-term incentives
Company
Relativity
Leading legal data intelligence company that builds technology to help users organize data, discover the truth, and act on it.
H1B Sponsorship
Relativity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (23)
2024 (12)
2023 (21)
2022 (25)
2021 (20)
2020 (30)
Funding
Current Stage
Late StageTotal Funding
$125MKey Investors
Silver LakeICONIQ Growth
2021-03-18Private Equity
2015-02-03Private Equity· $125M
Recent News
2025-12-10
Company data provided by crunchbase