Machine Learning Engineer

About the Role

AI at Eve isn't a feature - it's the foundation. We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake through resolution - we need engineers who can push our models and agent systems to be faster, smarter, and more reliable.

You'll own the full stack of applied ML - from data curation to evaluation and production deployment - building systems that handle the kind of complex, high-stakes reasoning that most AI products never have to touch. Working closely with product and legal experts, you'll ship fast, drive projects end-to-end, and help shape both the platform and the future of legal AI.

What You'll Do

You'll build and improve ML systems that operate in real-world conditions, where reliability, accuracy, and domain nuance matter. At Eve, you will:

• Build AI systems that understand, analyze, and reason across complex legal tasks and queries
• Elevate AI Reasoning: Architect and refine the reasoning capabilities of our models to drive complex, high-stakes decision-making within the legal domain
• Treat model quality as a first-class ML optimization problem, using real usage data to make our systems more reliable, adaptable, and resilient
• Build rigorous evaluation frameworks that measure AI performance and ensure meaningful, trustworthy outcomes in a high-stakes legal context
• Collaborate Cross-Functionally: Work closely with product engineers to integrate models into user-facing features, and partner with legal professionals to translate domain expertise into technical requirements

What We're Looking For

You're a product-minded Machine Learning Engineer who enjoys building real systems people depend on. You'll likely have:

• 4+ years of engineering experience, with a focus on applied ML/AI products
• Proven track record of shipping ML systems in production, with real users and high uptime
• Experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable steps
• Strong analytical sense: you build frameworks to measure the metrics that matter and iterate quickly from real usage
• Ownership mindset: you drive projects end-to-end and thrive on problems that don't have clean answers yet
• Enjoy following SOTA research into new models and agent architectures.

Pay and benefits

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Eve and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location.

US 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

• We may use artificial intelligence (AI) tools to support parts of the hiring process.
• 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.