Company Overview
Relativity is a pioneering legal data intelligence firm that crafts advanced technology to assist users in organizing data, uncovering truths, and confidently taking action. Our AI-enhanced cloud platform, RelativityOne, converts vast amounts of intricate information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other critical legal tasks where precision and trust are paramount.
Each year, the global justice system benefits from insights generated by Relativity AI across billions of documents. Our journey to leverage AI to enhance every discovery, investigation, and analysis on our platform is just beginning.
At Relativity, we develop AI guided by our AI Principles, emphasizing the importance of clear objectives, transparency, fairness, privacy, data protection, and high ethical standards.
Role Overview
As a Lead Applied Scientist focused on Generative AI, you will be pivotal in designing, developing, and deploying machine learning models that drive the next wave of AI-driven capabilities at Relativity. Your collaboration with a multidisciplinary team of applied scientists, engineers, product managers, and designers will enable the creation of models that empower legal professionals in their pursuit of truth and organization of data.
This role strikes a balance between research, development, and operational responsibilities. You will contribute significantly to our portfolio of transformative generative AI technologies while aligning with our commitment to responsible AI practices and ensuring the reliability of models in high-stakes settings.
Key Responsibilities
- Develop and implement machine learning and generative AI models as customer-facing features.
- Collaborate with engineers to write production-quality code and engage in the complete model deployment lifecycle.
- Design and evaluate large-scale models for search and retrieval systems managing hundreds of millions to billions of documents.
- Establish internal standards and processes for the creation and deployment of generative AI systems.
- Work alongside Product and Data teams to curate and synthesize datasets for model training and evaluation.
- Conduct comprehensive experimentation and iteration to enhance model quality, safety, and performance.
- Coordinate with AI, engineering, and product teams to ensure effective model integration into larger systems.
- Adhere to Relativity's AI Principles to cultivate responsible, fair, secure, and transparent AI development.
- Articulate complex data science and machine learning concepts clearly and inclusively to diverse stakeholders.
Qualifications
Required:
- Proven experience in building search or retrieval systems handling large volumes of documents.
- Experience in developing generative AI models within extensive domain-specific systems.
- A thorough understanding of the entire machine learning lifecycle, from experimentation to deployment.
- Familiarity with containerized environments and Kubernetes workflows.
- Interest in or experience working within the legal industry, eDiscovery, or the broader justice system.
- Strong programming skills in a language such as Python.
- Comfort in UNIX-based environments and using command-line tools.
- Ability to communicate complex concepts to a wide range of stakeholders effectively.
Preferred:
- Master's degree in Computer Science or a related quantitative field with 2 years of relevant industry experience.
- OR Ph.D. in Computer Science or a quantitative field.
- OR equivalent of 5 years of relevant academic and/or industry experience.
- Experience with large language model systems and deployment.
- Involvement in developing shared data science or ML engineering standards and tooling.
Why Join Us?
- Your work will make a meaningful impact on improving outcomes within the global justice system by enabling customers to discover crucial insights from complex datasets.
- Contribute to some of the largest and most intricate AI systems in the legal technology sector, operating at considerable data and computational scales.
- Collaborate with a talented group of applied scientists, engineers, and product leaders while advancing your expertise in generative AI and machine learning systems.
- Be part of a culture committed to ethical, transparent, and accountable AI development.
- Join a diverse team that values varied perspectives, backgrounds, and ways of thinking, enhancing both our teams and products.
Compensation and Benefits
- Competitive compensation package, health and retirement benefits, discretionary time off, parental leave, company-wide breaks, wellness resources, and an equity program.
This position offers competitive total compensation including a base salary, an annual performance bonus, and long-term incentives. The expected salary range is between $146,000 and $218,000, determined by factors such as experience, skill set, qualifications, and internal equity.