Senior Applied Scientist

Relativity
United States, California, Los Angeles
Dec 03, 2024
Posting Type Hybrid, Remote Job Overview Every year, the global justice system benefits from the insights of Relativity AI on billions of documents- and we are just getting started on our journey to use AI to improve each 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 AI Team At Relativity Relativity is heavily invested in developing new AI products and features for our customers. Our team spans across many teams and functions across Relativity Engineering, including our data engineering team, ML Ops team, applied science team, and product-focused feature teams for our RelOne AI suite of products. About The Senior Applied Scientist, Generative AI Role 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 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 eDiscovery, as well as the builder of the market's leading product, Relativity One. As a Senior 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. Job Description and Requirements 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 A Master's Degree in Computer Science, or a quantitative discipline, AND 2 years of relevant industry experience OR a Ph.D. in Computer Science or a quantitative discipline OR the equivalent of 5 years of relevant academic/industry experience. Experience in building search solutions at the scale of hundreds of millions of documents Experience with generative AI models and leveraging them as part of more complex systems to solve domain-specific tasks Experience in the full model development lifecycle Legal industry experience, or interest in the legal industry and justice system. Preferred Qualifications Experience in building and deploying models leveraging large language models Proficient in programming and scripting in a language such as Python. Experience in Kubernetes container-based development tooling and processes Comfortable with command-line tools in UNIX environments. Intentional communicator - uses inclusive language whenever possible, communicates data science concepts to colleagues of all backgrounds, uses technical vocabulary judiciously and with intention #LI-NW1 Relativity is committed to competitive, fair, and equitable compensation practices. 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 following values: $146,000 and $218,000 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.