Machine Learning Engineer

About Eve 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. We're hiring an Machine Learning Engineer as the volume and complexity of legal AI [... source excerpt omitted ...] on Eve to automate high-stakes legal work — from intake through resolution — we need engineers who can push our models and agent systems to be faster, smarter, and more reliable. You'll own the full stack of applied ML — from data curation to evaluation and production deployment — building systems that handle the kind of complex, high-stakes reasoning that most AI products never have to touch. Working closely with product and legal experts, you'll ship fast, drive projects end-to-end, and help shape both the platform and the future of legal AI. What You'll Do: You'll build and improve ML systems that operate in real-world conditions, where reliability, accuracy, and domain n [... source excerpt omitted ...] -Functionally: Work closely with product engineers to integrate models into user-facing features, and partner with legal professionals to translate domain expertise into technical requirements What We're Looking For: You're a product-minded Machine Learning Engineer who enjoys building real systems people depend on. You'll likely have: 4+ years of engineering experience, with a focus on applied ML/AI products Proven track record of shipping ML systems in production, with real users and high uptime Experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable steps Strong analytical sense: you build frameworks to measure the metrics