Applied Scientist

Job Overview

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.

Posting Type:
Hybrid
.

• Write code that solves real customer problems and scales cleanly—built to be easy to ship, operate, and maintain.
• Collaborate with fellow Applied Scientists, 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, whether a decision tree or a frontier LLM.
• Stay grounded in evidence, and open to change.

• 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, of leading, or 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).

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long‑term incentives.

The expected salary range for this role is $197,000–$295,000. The final offered salary will be based on several factors, including but not limited to the candidate’s depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Algorithms, Computer Vision, Data Analysis, Data Science, Deep Learning, Machine Learning, Natural Language, Natural Language Processing, Python, Scientific Research.