Machine Learning Engineer
Core
Building and optimizing applied ML systems for high-stakes legal workflows, from intake through resolution, to automate complex reasoning tasks for plaintiff law firms.
Role type
Senior Machine Learning Engineer (Applied AI/Reasoning)
Builds
Production ML systems and agent architectures for legal case management
Domain
Legal Technology (LegalTech) / Applied AI
Deliverable
production ML models
Required skills
Applied ML/AI product development, Architecting AI reasoning capabilities, Model evaluation framework design, End-to-end project ownership, SOTA model research, Cross-functional collaboration
Preferred skills
Experience with complex task decomposition, High-uptime system deployment
Technologies
LLMs, Agent architectures, Evaluation frameworks
Responsibilities
Build AI systems that understand, analyze, and reason across complex legal tasks; Architect and refine reasoning capabilities for high-stakes decision-making; Treat model quality as a first-class optimization problem using real usage data; Build rigorous evaluation frameworks for AI performance; Integrate models into user-facing features with product engineers.
Seniority
Senior, hands-on IC