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Freelance Full Stack Machine Learning Engineer Jobs in California

We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our ... You'll own the full stack of applied ML -- from data curation to evaluation and production ...

Senior Machine Learning Engineer (LLM Evaluation & AI Agents) Location: Menlo Park, CA (Hybrid ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Debug issues across the full stack, including data quality, labeling, model behavior, evaluation ... Electrical Engineering, Robotics, Computer Vision, Machine Learning, or a related field. * 3-5 ...

In this role, you will work across the full ML lifecycle -- from data preparation and feature ... Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML ...

They are seeking a Machine Learning Engineer to translate research into scalable solutions ... processing stacks such as Spark and Airflow. • Experience with multi-node GPU training. • ...

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

... the team's autonomy stack. * Maintains the strict confidentiality of sensitive information ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

You'll work across the full machine learning lifecycle, from experimentation and model and agent ... Learning Engineer, or related role * Prior experience at a frontier AI lab, agentic startup ...

Full Stack Engineer

San Francisco, CA · On-site

$165K - $225K/yr

We're a tight-knit team of product engineers, infrastructure specialists, and machine learning ... About this role As a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our ...

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... the machine learning stack, and who move fast and take ownership of their projects. Our ideal ...

Machine Learning Engineer III

Poway, CA · On-site

$116K - $208K/yr

... the team's autonomy stack. * Maintains the strict confidentiality of sensitive information ... May substitute equivalent machine learning engineer experience in lieu of education. * Must have an ...

Showing results 41-60

Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

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The most popular types of Full Stack Machine Learning Engineer jobs in California are:

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For Freelance Full Stack Machine Learning Engineer jobs in California, the most frequently searched job titles are:

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Cities in California with the most Freelance Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

Menlo Ventures

San Mateo, CA • On-site

$195 - $350/hr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


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
  • 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 a 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.

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. 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.

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