Machine Learning Engineer

8 Months ago • All levels • Research Development • $195,000 PA - $255,000 PA

Job Summary

Job Description

Eve is a leader in legal tech, utilizing AI-driven solutions to empower plaintiff attorneys. The company's mission is to create 'AI-native law firms' managed by software. This role involves developing AI systems for legal tasks, optimizing AI models, enhancing AI reasoning capabilities, building evaluation frameworks, and collaborating with legal professionals. The ideal candidate will have a background in AI or Computer Science, experience with complex AI systems, expertise in model optimization, strong analytical and problem-solving skills, and a passion for transforming the legal industry with AI.
Must have:
  • Develop AI systems for legal tasks
  • Optimize and integrate AI models
  • Advance AI reasoning capabilities
  • Build AI performance evaluation frameworks
  • Collaborate with legal domain experts
  • Bachelor's or Master's in AI/CS or related
  • Experience with complex AI systems
  • Proficiency in model optimization
  • Strong analytical skills for AI metrics
  • Skilled in integrating models/tools
Good to have:
  • Passion for AI in legal tech
  • Architect complex AI systems
  • Curiosity for AI reasoning improvement
  • Collaborative spirit
  • Commitment to meaningful outcomes
Perks:
  • 401(k) with Company Match
  • Comprehensive Health, Dental, and Vision Insurance
  • Unlimited PTO
  • Inclusive, collaborative, and innovation-driven environment

Job Details

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.

Why Join Eve

    • 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.

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: 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.

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.
    • 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.

You Will Thrive In This Role If You Have:

    • 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.

Benefits

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

Compensation

    • 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 $195,000 - $255,000 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.

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About The Company

United States (Remote)

San Mateo, California, United States (Hybrid)

San Mateo, California, United States (Hybrid)

San Mateo, California, United States (Hybrid)

San Mateo, California, United States (Hybrid)

United States (Remote)

United States (Remote)

United States (Remote)

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