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
- 💰 Competitive Salary & Equity
- 💹 401(k) Program
- ⚕️ Health, Dental, Vision and Life Insurance
- 🩼 Short Term and Long Term Disability
- 🚗 Commuter Benefits
- 📱 Monthly Wellness Stipend
- 🧑💻 Autonomous Work Environment
- 🖥️ In-Office Setup Reimbursement
- 🏝 Flexible Time Off (FTO) + Holidays
- 🚀 Quarterly Team Gatherings
- 🥪 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.