Relativity is a global leader in eDiscovery AI, developing products that help legal professionals organize data, discover the truth, and act with confidence. Our AI principles guide responsible product development, emphasizing purpose, customer empowerment, fairness, privacy, data security, and accountability. The Senior Applied Scientist, Generative AI role focuses on designing generative and machine‑learning solutions that enhance our Relativity One AI suite. This role requires close collaboration with applied science, product, design, and engineering teams to build production‑ready AI models and uphold our responsible AI standards.

Job Overview

Are you looking for a hybrid or remote work opportunity? Do you value flexibility and want a workplace that adapts to your life? Relativity offers benefits that suit your needs and a culture that encourages experimentation, learning, and innovation.

Posting Type

Remote

About the AI Team at Relativity

Our AI team supports product engineering across multiple functions—data engineering, ML Ops, applied science, and feature teams focused on Relativity One AI products. We heavily invest in new AI features and services to serve our global customer base.

About the Senior Applied Scientist, Generative AI Role

As a Senior Applied Scientist, you will develop generative and machine‑learning products for the eDiscovery industry in collaboration with applied science, product, design, and engineering teams. Your work will be part of a balanced portfolio of research, development, and operational transformation, aligned with our responsible AI principles.

Responsibilities

• Develop machine‑learning models and algorithms to be released as new product features.
• Collaborate with engineers to develop production‑level code and contribute to the entire model deployment lifecycle.
• Contribute to developing internal standards, processes, and tooling for leveraging generative AI.
• Collaborate with Product to assemble and synthesize datasets for evaluation and model building.

Minimum Qualifications

• An advanced degree in Computer Science or a quantitative discipline and 3 years of relevant industry experience, or the equivalent of 6 years of academic/industry experience.
• Excellent analytical skills and solid understanding of machine‑learning concepts, with experience across the full model development lifecycle.
• Experience with generative AI models and incorporating them into complex systems to solve domain‑specific tasks.
• Experience building and evaluating information retrieval or search solutions.
• Proficiency in programming and scripting in Python.
• Intentional communicator—uses inclusive language and communicates data science concepts clearly to colleagues of all backgrounds.
• Demonstrated ability to innovate and operate with a high level of autonomy.

Preferred Qualifications

• Experience with Kubernetes container‑based development tooling and processes.
• Comprehensive knowledge of Microsoft Azure, especially ML and analytics products.
• Comfortable with command‑line tools in Unix environments.
• Legal industry experience or a strong interest in the legal industry and justice system.

Benefit Highlights

• Comprehensive health plan
• Flexible work arrangements
• Two week‑long company breaks per year
• Unlimited time off
• Long‑term incentive program
• Training investment program

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability, or protected veteran status, in accordance with applicable law.

Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation that includes a base salary, annual performance bonus, and long‑term incentives. The expected salary range for this role in Poland is between PLN 237,000 and PLN 355,000. The final offered salary will depend on factors such as experience, skill set, qualifications, and internal pay equity.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Research, Analyst, and Information Technology

Industries

Software Development

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