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Senior Manager, Applied Science

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Relativity

1001 - 5000 employees

⚖ Legal

đŸ’Œ Consulting

đŸ„ Healthcare

Legal ‱ Consulting ‱ Healthcare

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.

📋 Description

‱ Lead and grow a team of applied scientists through hiring, coaching, direction-setting, and professional development ‱ Set the technical and scientific bar by shaping architectures, reviewing designs and evaluations, and solving complex problems hands-on ‱ Own AI system readiness end-to-end, from problem framing through evaluation, error analysis, efficacy studies, and production monitoring ‱ Select investment areas across agentic assistants, large-scale document review, and analysis systems ‱ Partner with product, engineering, design, customer-facing teams, and legal experts to move ideas from proof of concept to scaled production ‱ Communicate technical nuance into actionable decisions for teams, leadership, and customers ‱ Represent Relativity at industry conferences, events, and customer engagements

🎯 Requirements

‱ Master's or PhD in computer science or another quantitative discipline, or equivalent professional experience ‱ At least 6 years of experience in applied AI/ML ‱ At least 1 year of experience as a people leader ‱ Deep applied AI/ML and deployment engineering experience ‱ Experience building production-ready AI systems and owning their production lifecycle ‱ Fluency with modern generative AI as a component of larger systems ‱ Strong machine-learning rigor, data understanding, evaluation, error analysis, and statistical reasoning ‱ Strong software-engineering judgment and programming skill ‱ Ownership mindset extending beyond the immediate team ‱ Required skills: Algorithms, Data Science, Natural Language, Predictive Analytics, Project Management, Reinforcement Learning, Research Development, Science, Statistical Models, Team Leadership

đŸ–ïž Benefits

‱ Competitive base salary ‱ Annual performance bonus ‱ Long-term incentives ‱ Cross-functional skills and career growth opportunities ‱ Opportunity to make a significant impact on customers, industry, and communities

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