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Contract Google Machine Learning Engineer Jobs in Berkeley, CA

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 ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

They are seeking a Machine Learning Engineer to train and deploy critical models for their core product, focusing on interpreting unstructured data and improving model performance. Responsibilities ...

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Contract Google Machine Learning Engineer information

See Berkeley, CA salary details

$36

$59

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How much do contract google machine learning engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for contract google machine learning engineer in Berkeley, CA is $59.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $62.12 per hour, depending on experience, location, and employer.
What are popular job titles related to Contract Google Machine Learning Engineer jobs in Berkeley, CA? For Contract Google Machine Learning Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What cities near Berkeley, CA are hiring for Contract Google Machine Learning Engineer jobs? Cities near Berkeley, CA with the most Contract Google Machine Learning Engineer job openings:
Infographic showing various Contract Google Machine Learning Engineer job openings in Berkeley, CA as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $124,624 per year, or $59.9 per hour.

Machine Learning Engineer

Eve

San Mateo, CA

Other

Posted 26 days ago


Job description

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