Job Overview
Are you looking for a hybrid or remote work opportunity? Are you interested in a workplace that allows for flexibility in your day? Are you ready for a workplace that provides benefits that suit your needs?
Every year, the global justice system benefits from the insights of Relativity AI on billions of documents – and we are global experts in leveraging generative AI to improve each and every user experience, product, legal matter, and investigation at Relativity. We are focused on helping our users discover the truth more quickly, organize their data, and act on it with confidence.
Relativity has established a set of AI Principles to guide product development and underscore their commitment to developing responsible AI. These principles include building AI with purpose that delivers value for customers, empowering customers with clarity and control, ensuring fairness in AI development, championing privacy, placing the security of customers’ data at the heart of everything they do, and acting with a high standard of accountability.
As a team, we believe in exploration, experimentation, and bringing your curiosity to work every day. We know that you can’t innovate without experimentation — and a little failure happens on the path to invention. We use the latest and greatest to ensure we are the best. We experiment, ship, and learn every day.
About The Applied Scientist, Generative AI Role
The Applied Scientist, Generative AI will develop generative and machine-learning products for the e Discovery industry in close collaboration with their applied science, product, design, and engineering team. You will use your experience in applied science to build models that help legal professionals organize data, discover the truth, and act on it. Relativity is the recognized leader of AI in e Discovery, as well as the builder of the market’s leading product, Relativity One. As an Applied Scientist, you will contribute to our balanced portfolio of research, development, and operation of transformational generative AI technologies according to the responsible AI approach laid out by our 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 2 years of relevant industry experience OR the equivalent of 4 years of relevant academic/industry experience.
Analytical skills and solid understanding of machine learning concepts, experience in the full model development lifecycle.
Experience with generative AI models and leveraging them as part of more complex systems to solve domain-specific tasks.
Proficient in programming and scripting in Python.
Intentional communicator – uses inclusive language whenever possible, communicates data science concepts to colleagues of all backgrounds, uses technical vocabulary judiciously and with intention.
Demonstrated ability to innovate.
Preferred Qualifications
Experience in Kubernetes container-based development tooling and processes.
Experience in building and evaluating information retrieval or search solutions.
Comprehensive knowledge of the MS Azure offering, with emphasis on ML and analytics products.
Comfortable with command-line tools in UNIX environments.
Legal industry experience, or 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.
Compensation
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 between 182,000 and 274,000 PLN. 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.
Equal Opportunity Employer
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, or any other legally protected basis, in accordance with applicable law.
Relativity is committed to competitive, fair, and equitable compensation practices.
