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Machine Learning Assistant Jobs in California (NOW HIRING)

Machine Learning Engineer

San Mateo, CA · On-site

$195 - $350/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We're hiring a Machine Learning Engineer as the volume and complexity of legal AI workflows in our ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Machine Learning Engineer

Irvine, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...

Machine Learning Engineer

Huntington Beach, CA · On-site

$120 - $185/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Machine Learning Engineer

Huntington Beach, CA

$120K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Machine Learning Engineer

Costa Mesa, CA · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Machine Learning Engineer

San Jose, CA · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Machine Learning Engineer

El Segundo, CA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Machine Learning Engineer

Sacramento, CA · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Showing results 21-40

Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in California?

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

What are popular job titles related to Machine Learning Assistant jobs in California?

For Machine Learning Assistant jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in California look for?

The top searched job categories for Machine Learning Assistant jobs in California are:

What cities in California are hiring for Machine Learning Assistant jobs?

Cities in California with the most Machine Learning Assistant job openings:

Infographic showing various Machine Learning Assistant job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

Menlo Ventures

San Mateo, CA • On-site

$195 - $350/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


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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