Applied Scientist

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At Relativity, we’re building a world‑class Applied Science team to push the boundaries of intelligent systems in the legal domain. As a Staff Applied Scientist, you will help create, scale, and maintain AI solutions that dramatically improve document review, privilege detection, and case strategy. You’ll work on systems that interpret legal intent, reason across documents, cite decisions, and automate repetitive legal tasks, enabling legal professionals to focus on higher‑level work.

• 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 and automate them into reusable benchmarks.
• Rapidly build AI/ML‑powered prototypes and turn them into reliable, scalable production models.
• Select the right model for each task, from decision trees to frontier LLMs.
• Stay grounded in evidence while remaining 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 results.
• Experienced with a range of modeling techniques—from classic ML to large‑scale generative models.
• Familiar with modern MLOps tooling (containers, workflow orchestration, telemetry, deployment patterns, 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 engineering, product, and support organizations.
• Strong Python programming skills, experienced with data and ML libraries (numpy, PyTorch, scikit‑learn, PySpark).

Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation that 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.

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Skills:

Algorithms, Computer Vision, Data Analysis, Data Science, Deep Learning, Machine Learning (ML), Natural Language, Natural Language Processing (NLP), Python (Programming Language), Scientific Research.

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