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Relativity is a leading legal data intelligence company building AI-powered cloud platforms to organize data and uncover insights. Engineers on the AI Platform's Experimentation Infrastructure team create tools and infrastructure to accelerate experimentation, partnering across AI and data pipelines.
We design scalable cloud services, ship data-rich features, and maintain high standards for reliability and security.
Hybrid/Remote
Who We Are
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
What We Do
At Relativity, engineers don't just write code- they harness AI tools to architect, optimize, and deliver scalable software faster and shape the future of legal technology. They shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We're reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation.
This position will be part of the AI Platform's Experimentation Infrastructure team. In brief, our mandate is to create and support tools and infrastructure that accelerate experimentation at Relativity.
Tech stack: Claude or Cursor, Python, GitHub, GitHub Actions, Docker, Azure, Kubernetes, Databricks, MLflow, OpenTelemetry, PagerDuty
If you're passionate about solving hard problems, designing for scale, and building tools that matter-while working in a culture that values transparency, innovation, and shared success- Relativity offers the opportunity to make a measurable difference in the marketplace.
Required
Preferred
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 $103,000 and $155,000
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.
Required Skills: Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting