Senior Manager, Applied AI Science (Remote)

Relativity

Arizona

Hybrid

USD 208,000 - 312,000

Full time

14 days+
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Job summary

Relativity is seeking a Senior Manager, Applied Science to lead a team expanding the aiR agentic harness for greater capability and reliability. You will guide architecture, mentoring, and productionization of AI systems used in legal tech.

You will own end-to-end readiness, partner with product and engineering, and communicate precisely with leadership and customers. A Master's or PhD with 6+ years of applied AI/ML is required.

Qualifications

  • Master's or PhD in CS (or equivalent) with 6+ years in applied AI/ML and 1+ year as a people leader.
  • Deep applied AI/ML and deployment engineering experience, building production AI systems.

Responsibilities

  • Lead and grow a team of applied scientists: hire, coach, set direction, develop people toward their best work.
  • Set the technical and scientific bar; stay hands-on shaping architectures, reviewing designs, and tackling hard problems.
  • Own AI system readiness end-to-end from framing through evaluation, analysis, and production monitoring.
  • Choose the right problems; help decide where to invest for reliability and impact.
  • Partner with product, engineering, design, and legal teams to scale ideas to production.
  • Communicate with precision to team, leadership, and customers; translate technical details into decisions.

Skills

Algorithms
Data Science
Natural Language
Predictive Analytics
Project Management
Reinforcement Learning
Research Development
Science
Statistical Models
Team Leadership

Education

Master's or PhD in CS or quantitative field

Job description

Relativity is seeking a Senior Manager, Applied Science to lead a team expanding the aiR agentic harness for greater capability and reliability. You will guide architecture, mentoring, and productionization of AI systems used in legal tech.

You will own end-to-end readiness, partner with product and engineering, and communicate precisely with leadership and customers. A Master's or PhD with 6+ years of applied AI/ML is required.

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