Lead Applied Scientist

At Relativity, we are building an elite Applied Science team to transform intelligent systems in the legal sector. We are seeking a Lead Applied Scientist eager to join our forward-thinking team.

Our vision for Agentic AI systems that can perceive, think, and act is a reality, already reflected in how Relativity aiR enhances document review efficiency, accuracy, and scalability. Our sophisticated models understand legal intent, analyze documents, and automate countless hours of work, allowing legal professionals to focus on what matters most.

This position presents an extraordinary chance to influence the future of applied AI in legal technology by creating intelligent, secure, and auditable systems that amplify human capabilities.

The Applied Science team at Relativity fuels aiR, the foremost scalable workflows in legal tech, automating essential tasks such as document review, privilege detection, and case strategy. Our efforts extend beyond basic LLM applications; we craft intelligent systems that reason, document their thought processes, and function proficiently across millions of documents.

We address significant challenges in a high-stakes arena where our clients expect trustworthy systems that are accountable and designed with integrity. You will play a vital role in enhancing these systems, ensuring statistical validation of AI-generated decisions, refining user experiences, and exploring the limits of possibility while keeping experts engaged.

We are committed not just to developing products but to creating a brighter future for legal professionals. By joining our 20-member Applied Science team, you'll be part of a supportive, intellectually stimulating environment that values impact, continuous learning, and trust. In this role, you'll have the opportunity to lead, contribute, and further your professional growth.

• Develop code that addresses real customer challenges with scalable solutions that are user-friendly and easy to maintain.
• Work collaboratively with other Applied Scientists, Engineers, Product Managers, Designers, and Clients.
• Design and execute statistically sound experiments, automating them into reusable benchmarks.
• Swiftly create AI and ML-powered prototypes, transitioning them into stable, scalable production models.
• Select the appropriate models for specific tasks, whether utilizing decision trees or advanced LLMs.
• Maintain an evidence-based approach and be adaptable as you progress.

• You have 6-10+ years of experience in Machine Learning, Applied Science, or a related field.
• You hold a Master's or Ph.D. in a relevant discipline (e.g., Computer Science, Statistics, Applied Mathematics) or possess equivalent professional experience.
• You excel at quickly prototyping while maintaining quality and then simplifying for production.
• You are adept at reading and interpreting research, bringing a healthy skepticism to validate outcomes.
• You are familiar with various modeling techniques, from classic ML methods to large-scale generative models.
• You have experience with modern MLOps tools such as containers, workflow orchestration, telemetry, deployment patterns, and experimentation.
• You are an effective communicator capable of articulating complex concepts to both technical and non-technical audiences.
• You possess a humble, curious, and adaptive mindset, unafraid to embrace failure, ready to lead, and willing to ask questions. You take ownership, engage with our challenges, devise solutions, and collaborate with our engineering, product, and support teams to implement them.
• You are an expert Python programmer, proficient in various data and machine learning libraries (e.g., numpy, pytorch, scikit-learn, pyspark).

Relativity is committed to fair compensation practices. The expected salary range for this role is between $197,000 and $295,000. The final salary will depend on factors such as expertise, skills, qualifications, and internal pay equity.

Lead Applied Scientist
• Phoenix, AZ, United States