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.

Our Applied Science team behind Relativity aiR drives scalable workflows in legal tech—automating decision‑making in document review, privilege detection, and case strategy. These systems reason, cite their thought process, and operate at scale across millions of documents, providing auditable, defensible, and responsible solutions for high‑stakes legal work.

• Write production‑ready code that solves real customer problems and scales cleanly.
• Collaborate with 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 and turn them into reliable, scalable production models.
• Select the right model for each task—from decision trees to frontier LLMs.
• Stay evidence‑grounded, skeptical, and open to change.

• 6–10+ years of professional experience in ML, Applied Science, or a closely related area.
• Master’s or Ph.D. in a relevant field (e.g., Computer Science, Statistics, Applied Math) or equivalent professional experience.
• Proven ability to prototype quickly and 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).
• Effective communicator, able to explain complex ideas to technical and non‑technical stakeholders.
• Humble, curious, adaptable; not afraid of failure, of leading, or of asking questions; end‑to‑end owner.
• Strong Python programming skills, experienced with numpy, PyTorch, scikit‑learn, PySpark, etc.

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 to $295,000.

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

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Research, Analyst, and Information Technology
• Industry: Software Development