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Machine Learning Engineer

Join Eve as a Machine Learning Engineer to build AI systems that transform legal technology for plaintiff law firms.

Location
San Francisco (Hybrid); San Mateo, CA (Hybrid)
Compensation
$195k–$350k/yr
Level
mid
Type
full time

Posted by employer 7 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 20 hours ago

Apply at Eve → Save job Scanned from eve.legal

Skills & Technologies

AI in the day-to-day

AI at Eve isn't a feature — it's the foundation.

Requirements

Experience
4+ years

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

401k Match Equity/Stock Options Remote Work Flexible Time Off Health Insurance

Joblaze summary

In this role, the Machine Learning Engineer at Eve focuses on developing and enhancing AI systems that tackle complex legal tasks, ensuring reliability and accuracy in high-stakes environments. The position requires expertise in applied machine learning, with a strong emphasis on building systems that can adapt and perform under real-world conditions. Ideal candidates will have significant experience in shipping ML products and a proactive approach to problem-solving. Eve's innovative team collaborates closely with legal professionals, positioning itself at the forefront of legal technology.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Eve's careers page October 27, 2026.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 60% of 20 comparable mid ai/ml roles in United States that list Machine Learning we track (median $170,000 across 10 companies). See Machine Learning salary trends
  • Machine Learning appears in 10.4% of 481 comparable mid ai/ml roles in United States; AI appears in 4.2% of 481 comparable mid ai/ml roles in United States.

Quick facts

What's the salary range?
Eve lists $195,000–$350,000 for this role.
How much experience is required?
At least 4 years of relevant experience for this Machine Learning Engineer role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI, Machine Learning.
What seniority level is this role?
Eve targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Machine Learning Engineer role at Eve.

From the original posting

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.

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.
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

*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.

Standard company text repeated across Eve's postings is omitted here.

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