Machine Learning Engineer

The job

LIVE Employer public job feed (private-sector employer) Source: the employer's public careers feed · Data: listed 2026-03-31

Job description

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. 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.

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*

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.  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.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Eve Jobs in California Jobs in San Mateo, CA San Mateo city guide California state guide San Mateo County economy

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About the role

This is a — role in the Technology field (Data, analytics and AI) at Eve.

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How to prepare and behave

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The city

The job is in San Mateo, CA. Below is what the official statistics say about living and working there.

How San Mateo compares. Among the 145 largest places in California, San Mateo is #72 by population, #132 for rent (#1 = cheapest), #28 for college degrees (#1 = most), #29 for household income (#1 = highest). Its county, San Mateo County, is #2 of 58 counties for average pay ($196,441).

The place in numbers

San Mateo has 103,105 residents (ACS 2020–2024), about 0.3% of the population of California. It covers 12 square miles of land, which works out to roughly 8,497 people per square mile. The median age is 38.3, about the same as the state median (38.3 against 37.9).

Housing

The median gross rent is $3,077 a month (rent plus utilities), 51% above the state median ($3,077 against $2,036). Over a year that is 24.1% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,618,700, which is 10.5 times the median household income ($153,504); a ratio above 5 usually means buying is out of reach without savings or a second income. 49.9% of households own their home, 11% below the state average (49.9% against 55.9%).

Work and pay

The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Mateo County was 3.9%. 68.9% of residents aged 16 and over are in the labour force. The city lies in San Mateo County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 57.7% drive alone, 4.9% use public transit, 2.7% walk, 24.8% work from home. 15.8% of workers commute 45 minutes or more, 19% below the state average (15.8% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

57.8% of adults aged 25 and over hold a bachelor's degree or higher, 56% above the state share (57.8% against 37.1%). 36.2% of residents were born outside the United States, 34% above the state share (36.2% against 27.0%). The poverty rate is 8.2%, 32% below the state rate (8.2% against 12.0%).

Climate

The warmest month is Sep, averaging 61°F (16.0°C), and the coolest is Jan at 51°F (10.7°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (115 mm) and Jul the driest (2 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Foster City (3 miles, rent 14% higher); Belmont (3 miles, rent 7% lower); Burlingame (4 miles, rent 9% lower); San Carlos (5 miles, rent 7% lower). Rent differences are against San Mateo; use the Compare tab to put any two cities side by side.

Full guide to San Mateo →California guideAll jobs in San Mateo

Official links for San Mateo

• Official website of San Mateo: cityofsanmateo.org
• Census Bureau data profile for San Mateo
• Official website of San Mateo County: smcgov.org
• Official state website: ca.gov
• BLS Economy at a Glance: California

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

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Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (762) Software engineering (4641) Cloud, IT and infrastructure (1147) Product management (927)

Distances

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The employer

Eve is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at Eve

Similar jobs

Same sub-niche: Data, analytics and AI

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FAQ

What is the Machine Learning Engineer job at Eve?

A private-sector role in technology (data, analytics and ai) listed 223 days ago. The full description is on this page and on the employer's page.

Where is this job?

San Mateo, CA.

How do I apply?

Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in San Mateo is $3,077 a month and median household income $153,504 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-03-31 (223 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in California.

Sources and terms

• Job data: Eve careers page public feed (listing dated 2026-03-31). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)