2 months ago
San Francisco, CA, USA or San Mateo, CA, USAMid Level
Base Salary
$195k - $350k/yr
Responsibilities
- Build AI systems that understand, analyze, and reason across complex legal tasks and queries.
- Architect and refine model reasoning capabilities for high-stakes legal decision-making.
- Use real usage data to optimize model quality, reliability, adaptability, and resilience.
- Build evaluation frameworks to measure AI performance and trustworthy outcomes.
- Collaborate with product engineers to integrate models into user-facing features.
- Partner with legal professionals to translate domain expertise into technical requirements.
- Own ML projects end-to-end, from data curation through production deployment.
Requirements
- At least 4 years of engineering experience focused on applied ML or AI products.
- Proven experience shipping production ML systems used by real users with high uptime.
- Experience developing advanced AI systems that deconstruct complex tasks into manageable steps.
- Strong analytical ability to define meaningful metrics, build measurement frameworks, and iterate from usage data.
- Ability to drive projects end-to-end and work effectively on ambiguous problems.
- Interest in following state-of-the-art research on new models and agent architectures.
Benefits
- Competitive salary and equity.
- 401(k) program with employer matching.
- Health, dental, vision, and life insurance.
- Short-term and long-term disability coverage.
- Commuter benefits for eligible employees.
- Autonomous work environment.
- Workplace setup reimbursement.
- Telecommuting stipend.
- Flexible time off and holidays.
- Quarterly team gatherings.
- In-office perks for in-office employees.
Categories
About Eve
Eve builds an AI-driven legal software platform for plaintiff law firms, assisting with triage, drafting, scheduling, and follow‑ups across a case’s lifecycle from intake to resolution. Delivered as subscription software that integrates with firm systems, it focuses on improving case throughput, quality, and compliance. The company is privately held, headquartered in San Mateo, California, and operates at the intersection of legal technology and artificial intelligence.