Eve Logo

Eve

ML Engineer

Reposted 6 Days Ago
Easy Apply
Hybrid
San Mateo, CA, USA
195K-350K Annually
Mid level
Easy Apply
Hybrid
San Mateo, CA, USA
195K-350K Annually
Mid level
As an AI Engineer, you will develop and optimize AI systems for legal tasks, work on integrating models, and establish evaluation frameworks to enhance decision-making capabilities in complex legal workflows.
The summary above was generated by AI

About Eve

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. 

What We're 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.

Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate.

US Base Salary Range
$195,000$350,000 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

Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.

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.

HQ

Eve San Mateo, California, USA Office

1825 South Grant Street, San Mateo, CA, United States, 94402

HQ

Eve San Mateo, California, USA Office

71 E 3rd Avenue, San Mateo, CA, United States, 94402

Similar Jobs at Eve

4 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
150K-220K Annually
Mid level
150K-220K Annually
Mid level
Legal Tech • Software • Generative AI
As a Senior Integrations Engineer, you will oversee integration delivery from post-sale to go-live, manage vendor relationships, debug API issues, and create documentation to scale integration processes.
Top Skills: CeligoIpaasJwtMulesoftNode.jsOauth 2.0PythonRest ApisSQLTray.IoWorkato
Yesterday
Easy Apply
Hybrid
San Mateo, CA, USA
Easy Apply
175K-240K Annually
Senior level
175K-240K Annually
Senior level
Legal Tech • Software • Generative AI
Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.
Top Skills: Ai AgentsCRMCSSHTMLJavaScriptLlmsMarketing AutomationMiddlewarePythonSQLWebhooks
3 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Legal Tech • Software • Generative AI
Lead end-to-end brand design across digital campaigns, web, product moments, and events. Own visual identity and design systems in Figma, produce high-craft assets, collaborate with marketing/product/engineering, and execute concepts from moodboard to final delivery to scale Eve’s brand.
Top Skills: Adobe Creative SuiteFigma

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account