ML Engineer

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.

What You'll Do

• 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.

• Educational Background: Bachelor’s or Master’s degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field.
• Experience in Complex AI Systems: 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.
• Expertise in Model Optimization: Proficiency in optimizing and fine-tuning foundational models, with a desire to push AI capabilities forward.
• Analytical Skills: Strong ability to measure impactful metrics and build frameworks to assess AI performance effectively.
• Problem-Solving Skills: Skilled in integrating various models and tools to create robust solutions for real-world applications.

US Base Salary Range

$195,000 - $300,000 USD

Benefits

💰 Competitive Salary & Equity

💹 401(k) Program with Employer Matching

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚗 Commuter Benefits*

🧑‍💻 Autonomous Work Environment

🖥️ Workplace Setup Reimbursement

🏠 Telecomm Stipend

🏝 Flexible Time Off (FTO) + Holidays

🚀 Quarterly Team Gatherings

🥪 In office Perks*

• In office employees only

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.