ML Engineer

Eve•San Mateo, CA

67d•$195,000 - $350,000•Hybrid

About The Position

Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. About the Role: AI at Eve isn't a feature — it's the foundation. As an ML Engineer, you'll be working at the intersection of cutting-edge model development and real-world legal workflows, building systems that handle the kind of complex, high-stakes reasoning that most AI products never have to touch. This role is for someone who wants to own the full stack — from data curation and fine-tuning to evaluation and production deployment — and who gets energized by problems that don't have clean answers yet.

Requirements

Bachelor’s or Master’s degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field.
Proven experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable steps.
Shipped ML systems in production, with real users and high uptime.
Proficiency in optimizing and fine-tuning foundational models, with a desire to push AI capabilities forward.
Strong ability to measure impactful metrics and build frameworks to assess AI performance effectively.
Skilled in integrating various models and tools to create robust solutions for real-world applications.

Responsibilities

Develop AI-Powered Solutions: Design and implement AI systems that understand, analyze, and provide intelligent assistance across various legal tasks and queries.
Optimize and Integrate Models: Fine-tune models on high-quality, domain-specific data (code, natural language, product usage signals)
Advance AI Reasoning: Improve the reasoning capabilities of our AI systems to enhance decision-making and support complex legal domains
Collaboration: Work closely with product engineers to integrate models into real user-facing features. Partner closely with legal professionals to translate their expertise into technical requirements, tailoring AI solutions to legal industry needs.
Build Rigorous Evaluation Frameworks: Establish frameworks that rigorously measure and evaluate AI performance, ensuring meaningful, reliable outcomes.