Join to apply for the Senior Applied Scientist, Generative AI role at Relativity.

Job Overview

Remote or hybrid work opportunity. You will help build generative and machine- learning products for the eDiscovery industry, collaborating with applied science, product, design, and engineering teams.

About the AI Team at Relativity

Relativity is heavily investing in new AI products and features for its customers. The team spans data engineering, ML Ops, applied science, and product-focused feature teams for the Relativity One AI suite of products.

Role Summary

The Senior Applied Scientist, Generative AI will develop generative and machine- learning products for the eDiscovery industry in close collaboration with their applied science, product, design, and engineering team. You will build models that help legal professionals organize data, discover the truth, and act on it.

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 an equivalent of 6 years of relevant academic/industry experience.
• Excellent 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.
• Experience in building and evaluating information retrieval or search solutions.
• 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 and operate with a high level of autonomy.

Preferred Qualifications

• Experience in Kubernetes container- based development tooling and processes.
• 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.

Benefits

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

EEO Statement

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.

Compensation

The expected salary range for this role is between 237,000 and 355,000 PLN. The final offered salary will be based on several factors, including but not limited to the candidates depth of experience, skill set, qualifications, and internal pay equity.

Job Details

Seniority level: Mid- Senior; Employment type: Full- time; Job function: Research, Analyst, and Information Technology; Industries: Software Development.