Job Description

Company Overview Eve is an industry leader in legal tech, empowering plaintiff attorneys with AI-driven solutions to achieve better outcomes for their clients. Our mission is to re-imagine the way the legal industry operates by creating “AI-native law firms” that are managed, scaled, and operated by software rather than armies of people - automating everything from document review to case strategy, so they can focus on winning better outcomes for their clients. Why Join Eve Product-market fit: Eve is used by over 300+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $60M from world-class partners including Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-native from day one: We collaborate 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. What You Will Accomplish as a Machine Learning Engineer 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. Own training pipelines for LLMs, from data curation to evaluation and deployment What We Are Looking For 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. Benefits ~&##128176; Competitive Salary & Equity ~&##128185; 401(k) Program ~⚕️ Health, Dental, Vision and Life Insurance ~&##129660; Short Term and Long Term Disability ~&##128663; Commuter Benefits ~&##128241; Monthly Wellness Stipend ~&##129489;‍&##128187; Autonomous Work Environment ~&##128421;️ In-Office Setup Reimbursement ~&##127965; Flexible Time Off (FTO) + Holidays ~&##128640; Quarterly Team Gatherings ~&##129386; In office Perks Hybrid Work Policy: We meet in our San Mateo office from Monday, Tuesday and Wednesday, working remotely the remainder of the week.

Job Tags

Temporary work, Work at office, Remote work, Flexible hours,

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