Staff AI Software Engineer

October 22

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Relativity

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Artificial Intelligence • Enterprise • SaaS

Relativity is a technology company that provides cloud-based software solutions for data discovery, e-discovery, data breach response, contract analysis, and privacy management. Their products, powered by artificial intelligence, offer proactive security and legendary support to help organizations manage sensitive data. Relativity is trusted by thousands of organizations, including law firms, corporations, and government agencies, to organize data, discover truth, and act on it effectively and efficiently. Their end-to-end solutions streamline data discovery from collection to review and production, utilizing tools like RelativityOne, Relativity aiR for AI-driven legal challenges, and custom solutions through the Relativity App Hub. Relativity is committed to offering secure, flexible solutions with a strong focus on customer support and strategic partnerships.

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Define and evangelize the multi-year technical roadmap for ML Ops • Provide technical direction and mentorship across several engineering squads • Drive the design of training, inference, and monitoring systems • Partner with product, program, and science leaders to scope and deliver cross-functional roadmaps • Evaluate emerging ML Ops tooling and establish engineering standards • Collaborate with security teams to uphold robust data protection practices • Foster a culture of learning by leading architecture reviews and mentoring engineers

🎯 Requirements

• 8+ years of professional software engineering experience • 5+ years in ML/AI or big-data environments • 4+ years of technical leadership across multiple teams • Expert level proficiency in Python, Java, or Scala • Deep hands-on experience with Docker, Kubernetes/Helm, and infrastructure-as-code tools • Proven track record building and operating CI/CD pipelines for ML workflows • Experience deploying secure, monitored services on AWS, Azure, or GCP • Demonstrated ability to mentor senior engineers

🏖️ 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