At Relativity, we’re building a world-class Applied Science team to push the boundaries of intelligent systems in the legal domain. We’re looking for a Staff Applied Scientist to join our team. Agentic AI—systems that perceive, think, and act—is not a far-off vision for us. It’s already embedded in how Relativity aiR makes document review faster, more accurate, and more scalable than ever before. Our models interpret legal intent, reason across documents, cite their decisions, and automate thousands of hours of work—freeing legal professionals to focus on what matters most. This is your chance to contribute to the next generation of applied AI in legal tech: to build intelligent, safe, and defensible systems that scale human capability.
Requirements
- 6–10+ years of professional experience in ML, Applied Science, or a closely related area.
- 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).
- Strong Python Programmer, experienced in various data and machine learning libraries (e.g. numpy, pytorch, scikit-learn, pyspark).
Responsibilities
- Write code that solves real customer problems and scales cleanly… Built to be easy to ship, operate, and maintain.
- 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.
- 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
Other
- Collaborate with fellow Applied Scientists… And with our Engineers, Product Managers, Designers, and Customers.
- Hold a Master’s or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Applied Math) OR equivalent professional experience.
- 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.
