Overview
Remote
About AI at Relativity: In the past two years, billions of documents have benefited from Relativity AI, and we are expanding to improve user experience, products, matters, and investigations. We aim to help users discover the truth quickly and act on data with confidence. We focus on algorithm excellence, creating a world-class toolset to solve complex challenges quickly and iteratively, and leveraging AI throughout the discovery process to better manage cases and optimize product operations.
As a team, we value exploration, experimentation, and curiosity. We believe you can\'t innovate without experimentation, and some failure is part of invention. We use the latest technologies to ensure we are the best and strive to experiment, ship, and learn every day.
About Data Science At Relativity
Relativity’s scale enables rich data exploration and insights. Our data infrastructure ensures broad data availability, confidentiality, data protection, and ongoing investment in data-pipeline and data-lake technology.
If you are looking for a data-rich environment that uses AI at scale, with challenges and innovation ahead, you will fit in on the AI team within Relativity.
About The Staff AI Engineer Role
Staff AI Engineers operate as domain architects and strategic accelerators. You will work across engineering and data-science teams, define the long-term vision for Relativity’s ML platform, guide high-impact projects from concept to production, and ensure our AI capabilities remain secure, reliable, and cost-effective at global scale.
Responsibilities
Technical Vision & Strategy. Define and evangelize the multi-year technical roadmap for ML Ops, aligning platform architecture with product and research needs.
Cross-Team Leadership. Provide technical direction and mentorship across several engineering squads—an evolution of the senior expectation to “work with a team of engineers” and the lead mandate to “lead a team of engineers.”
Platform Architecture Ownership. Drive the design of training, inference, and monitoring systems that meet timelines, extensibility, performance, and scale goals.
Program Management. Partner with product, program, and science leaders to scope and deliver cross-functional roadmaps, minimizing risks and maximizing opportunities.
Innovation & Standards. Evaluate emerging ML Ops tooling, establish engineering standards, and champion advanced optimization techniques (sparsity, quantization, pruning) for cost and performance gains.
Governance & Compliance. Collaborate with security teams to uphold robust data protection and responsible AI practices at scale.
Community & Mentorship. Foster a culture of learning by leading architecture reviews, publishing best practices, and mentoring senior and lead engineers organization-wide.
Minimum Qualifications
8+ years of professional software engineering experience, including 5+ years in ML/AI or big-data environments and 4+ years of technical leadership across multiple teams.
Expert level proficiency in Python, Java, or Scala for production systems.
Deep hands-on experience with Docker, Kubernetes/Helm, and infrastructure-as-code tools such as Terraform or Pulumi.
Proven track record building and operating CI/CD pipelines for ML workflows (e.g., Prefect, Airflow) and deploying secure, monitored services on AWS, Azure, or GCP.
Demonstrated ability to mentor senior engineers, influence technical direction, and drive cross-team initiatives to completion.
Preferred Qualifications
Master’s or Ph D in Computer Science, Engineering, Mathematics, or related field.
Recognized thought leadership through open-source contributions, conference talks, or publications.
Experience scaling ML platforms that leverage distributed data frameworks such as Spark or Kafka.
Expertise in implementing advanced model-optimization techniques (compression, pruning, quantization) in production environments.
Relativity is a diverse workplace and we celebrate different skills and life experiences. We believe employees are happiest when empowered to be their full, authentic selves, regardless of how you identify.
Benefits
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two week-long company breaks per year
Unlimited time off
Long-term incentive program
Training investment program
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation including a base salary, annual bonus, and long-term incentives. The expected salary range is 300,000 to 450,000 PLN. The final offer will reflect factors such as experience, skill, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical to allow for future salary growth.
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