Machine Learning Engineer

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 core values—Excellence, Visionary Innovation, and Elevation—drive everything we do. We are committed to providing tools that transform the legal industry and support our clients' success at every step. Targeting a total addressable market (TAM) of over $500 billion, we are positioned at the forefront of a rapidly expanding industry.

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. Our initial focus is building a platform that empowers plaintiff lawyers in case work, leveraging advanced AI models, thoughtful design, and precise engineering. Our team is composed of industry experts and engineers with experience at innovative companies like Rubrik, Facebook, and Scale.

• Transformative Mission: We are pioneering the application of AI in the legal industry, crafting solutions that redefine how law firms operate.
• Small, Talent-Dense Team: Join a flat, agile team of top talent passionate about revolutionizing the legal industry.
• Rapid Innovation: Be part of a fast-paced environment where your contributions directly influence the success of our mission.
• World-Class Expertise: Work with a team that values expertise, creativity, and impact to build solutions with lasting significance.

• 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: Architect and optimize AI systems by combining multiple models and tools, solving real-world legal problems with precision and scalability.
• Advance AI Reasoning: Improve the reasoning capabilities of our AI systems to enhance decision-making and support complex legal domains
• Build Rigorous Evaluation Frameworks: Establish frameworks that rigorously measure and evaluate AI performance, ensuring meaningful, reliable outcomes.
• Collaborate with Domain Experts: Partner closely with legal professionals to translate their expertise into technical requirements, tailoring AI solutions to legal industry needs.

• 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.
• 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.

• A passion for AI and its potential to transform traditional industries like legal.
• An eagerness to architect complex AI systems that solve practical, high-impact problems.
• Curiosity about improving AI reasoning in challenging, multifaceted domains.
• A collaborative spirit, excited about translating domain expertise into technical innovations.
• A commitment to measuring and achieving meaningful outcomes, setting high standards for AI performance.

• 401(k) with Company Match
• Comprehensive Health, Dental, and Vision Insurance
• Unlimited PTO for work-life balance
• Professional Development Opportunities
• Monthly Lunch Stipend
• An inclusive, collaborative, and innovation-driven work environment

• Compensation at Eve is highly competitive and determined based on experience, seniority, and considerations of both internal and external equity, as well as location. For this position, the base salary range is between $200,000 - $270,000 USD per year.
• In addition to a compelling salary and performance-based bonuses, we offer an equity component that provides meaningful ownership and the opportunity to share in the company's long-term success.

Hybrid Work Policy:

We meet in our San Mateo office from Monday to Wednesday, working remotely the remainder of the week.