E

Eve

AI-powered legal assistant automating tasks

Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-time$195k - $350kHybrid

About the Job

Requirements

  • At least 4 years of engineering experience focused on applied machine learning or artificial intelligence products.
  • A proven track record of shipping machine learning systems in production with real users and high uptime.
  • Experience developing advanced AI systems that deconstruct complex tasks into manageable steps.
  • Ability to build frameworks to measure relevant metrics and iterate from real usage.
  • Ability to follow state-of-the-art research into new models and agent architectures.

Responsibilities

  • Build AI systems that understand, analyze, and reason across complex legal tasks and queries.
  • Architect and refine model reasoning capabilities for complex, high-stakes decision-making in the legal domain.
  • Use real usage data to optimize model quality and make systems more reliable, adaptable, and resilient.
  • Build evaluation frameworks to measure AI performance and ensure trustworthy outcomes in a high-stakes legal context.
  • Work with product engineers to integrate models into user-facing features and with legal professionals to translate domain expertise into technical requirements.
  • Own the applied machine learning stack from data curation through evaluation and production deployment, driving projects end-to-end.

About the Company

Eve

AI-powered legal assistant automating tasks

Eve Legal provides an AI-powered legal assistant for law firms and legal departments. It automates common tasks such as document review, case analysis, and legal research, helping professionals work faster and take on more clients. The product works by using an adaptable AI system that can be trained and customized to match individual lawyers’ preferences and standards, effectively acting as a team member that handles repetitive, low-value tasks while users focus on high-level strategy and client service. Eve differentiates itself through immediate usability, customization, and ongoing updates via a subscription model, ensuring the AI stays aligned with users’ workflows. The goal is to improve productivity and client satisfaction by delivering recurring value through a scalable, AI-assisted workflow that reduces time spent on routine tasks and increases throughput for legal teams.

Company size
201-500
Company stage
Series B
Total funding
$164M
Headquarters
San Mateo, CA
Founded
2020

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