Senior Applied Scientist

Relativity•Colorado Springs, MI

1d•Hybrid

About The Position

Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy, trust, and accountability are critical. Every year, the global justice system benefits from insights generated by Relativity AI across billions of documents. We are just getting started on our journey to use AI to improve the outcome of every discovery, investigation, and analysis performed on our platform. At Relativity, we develop AI guided by our AI Principles. These principles ensure we build AI with clear purpose, empower customers with transparency and control, treat fairness and privacy as first principles, protect customer data by design, and act with a high standard of responsibility and accountability. Relativity’s AI organization is focused on exploration, experimentation, and turning cutting-edge research into real-world impact. We believe innovation requires experimentation, learning, and iteration. Our teams experiment, evaluate, ship, and learn continuously while maintaining a strong commitment to responsible AI. The Applied Science team operates at the core of Relativity’s AI development. Our team includes specialists with advanced postgraduate training and deep experience building and operating machine learning models at scale. We work closely with engineering, product, design, data engineering, machine learning operations, and LLM engineering teams to translate complex AI research into production-ready features used by legal professionals around the world. As a Senior Applied Scientist, Generative AI, you will design, build, and deploy generative and machine learning models that power Relativity’s next generation of AI-driven product capabilities. You will collaborate closely with applied scientists, engineers, product managers, and designers to build models that help legal professionals organize data, discover the truth, and act on it with confidence. This role balances research, development, and operational responsibility. You will contribute to Relativity’s portfolio of transformational generative AI technologies while adhering to our responsible AI principles and ensuring models perform reliably in real-world, high-stakes environments.

Requirements

Experience building search or retrieval systems operating at the scale of hundreds of millions of documents
Experience developing and applying generative AI models as part of larger, domain-specific systems
Experience across the full machine learning lifecycle, including experimentation, evaluation, deployment, and iteration
Experience working in containerized environments using Kubernetes-based tooling and workflows
Interest in or experience with the legal industry, eDiscovery, or the broader justice system
Strong programming ability in a language such as Python
Comfort working in UNIX-based environments using command-line tools
Ability to communicate complex data science concepts thoughtfully and inclusively to a wide range of stakeholders

Nice To Haves

Master’s degree in Computer Science or a quantitative field plus 2 years of relevant industry experience OR Ph.D. in Computer Science or a quantitative field OR the equivalent of 5 years of relevant academic and/or industry experience
Experience building and deploying systems that leverage large language models
Experience contributing to shared data science or ML engineering standards, tooling, or best practices

Responsibilities

Develop machine learning and generative AI models that ship as customer-facing product features
Collaborate closely with engineers to write production-quality code and contribute across the full model deployment lifecycle
Design and evaluate models that operate at very large scale, including search and retrieval systems spanning hundreds of millions to billions of documents
Contribute to internal standards, processes, and tooling for building, evaluating, and deploying generative AI systems
Partner with Product and Data teams to assemble, curate, and synthesize datasets for model development and evaluation
Conduct rigorous experimentation, model evaluation, and iteration to improve model quality, explainability, safety, and performance
Collaborate across AI, engineering, and product teams to ensure models integrate effectively into larger systems
Apply Relativity’s AI Principles to ensure responsible, fair, secure, and transparent AI development
Communicate complex data science and machine learning concepts clearly and effectively to collaborators with diverse technical backgrounds