Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Relativity
Company Overview
Relativity is a leading legal data intelligence company dedicated to developing technology that empowers users to organize information, uncover the truth, and take decisive actions with confidence. Our AI-powered cloud platform, RelativityOne, revolutionizes the handling of vast amounts of complex information, providing actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other critical legal undertakings where precision, trust, and accountability are paramount.
About the Role
We are actively seeking a Principal Applied Scientist specializing in Reliability to spearhead the design and validation of trustworthy intelligent systems tailored for high-stakes legal workflows. In this pivotal role, you will take ownership of the entire process—from comprehending the problem space to designing robust solutions, rigorously validating them, and collaborating with engineering and product teams to bring them into production.
This is an excellent opportunity for a seasoned applied scientist who is passionate about merging modeling, experimentation, and system reliability, while being driven by the mission of constructing AI systems that are not only powerful but also interpretable, defensible, and inherently safe.
Your Responsibilities
- Develop high-quality production code that effectively addresses customer needs and is scalable, ensuring systems are easy to deploy, operate, and maintain.
- Work collaboratively with fellow Applied Scientists, Engineers, Product Managers, Designers, and Customers to achieve shared goals.
- Design and conduct statistically robust experiments, automating them into reusable benchmarks and evaluation frameworks.
- Quickly prototype AI and ML-driven solutions and advance them into dependable, scalable models ready for production.
- Choose the right modeling approach for a wide array of problems, utilizing techniques from classical machine learning to advanced large language models.
- Thoroughly validate model performance using data-driven evidence, metrics, and experimentation, with a willingness to adjust strategies based on findings.
- Contribute to the development of intelligent systems capable of reasoning, citing their conclusions, and functioning reliably at scale.
- Help advance the field of agentic AI while ensuring that all systems remain auditable, dependable, and responsible.
What We're Looking For
- 8+ years of professional experience in applied science, machine learning, or a closely related discipline.
- Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a similar quantitative field, or equivalent practical experience.
- Proven track record of swiftly transitioning from prototypes to production-ready systems, simplifying complicated ideas into effective solutions.
- Ability to critically assess and apply research with a healthy dose of skepticism.
- Experience utilizing a diverse range of modeling methodologies, from classical machine learning to large-scale generative models.
- Familiarity with modern MLOps tools and methodologies, including containerization, workflow automation, deployment strategies, telemetry, and experimentation frameworks.
- Strong proficiency in Python and familiarity with popular data and ML libraries such as numpy, PyTorch, scikit-learn, and PySpark.
- Exceptional communication skills, capable of clearly articulating complex technical concepts to both technical and non-technical audiences.
- Ownership mindset, demonstrating the ability to comprehend new problem spaces, formulate solutions, and collaborate effectively with engineering, product, and support teams.
- A collaborative, curious, and adaptable demeanor, comfortable taking the lead, questioning established assumptions, and embracing lessons from failures.
Why Choose Us?
- Engage with high-impact problems in a critical domain where trust and reliability are key.
- Contribute to the development of AI systems that can analyze millions of documents, justify their choices, and streamline complex legal workflows.
- Employ rigorous scientific methods and validation techniques to create systems that deliver real-world impact and positive outcomes.
- Lead with authority while nurturing your growth in a supportive and intellectually stimulating Applied Science team.
- Join a culture that emphasizes kindness, curiosity, technical excellence, and collective accountability for results.
Compensation and Benefits
- We offer competitive salaries, comprehensive health and retirement programs, discretionary time off, parental leave, company-wide breaks, wellness resources, and an equity program.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for a total compensation package that includes a competitive base salary, performance bonuses, and long-term incentives. The expected salary range for this position is between $224,000 and $336,000. The final sal
Source: Relativity careers