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Machine Learning Ops Engineer Jobs in California

Stackruit Ltd.

Machine Learning

San Francisco, CA · On-site

$200 - $250/hr

First Machine Learning Engineer (US Remote - $200k-$250k) Do you dream of using machine learning to empower businesses to take action on their data? Join a mission-driven company! About Us * We're ...

New

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

Tapestry

Machine Learning Engineer

Mountain View, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$140 - $210/hr

Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement. * Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.

Medium

$160 - $190/hr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

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Showing results 41-60

All JobsMachine Learning Ops Engineer JobsMachine Learning Ops Engineer Jobs in California

Machine Learning Ops Engineer information

See California salary details

$31.1K

$127.1K

$191K

How much do machine learning ops engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning ops engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

What is a machine learning ops engineer?

A Machine Learning Ops Engineer (MLOps Engineer) focuses on deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and software engineering, ensuring models run efficiently, reliably, and at scale. Their responsibilities include automating workflows, managing infrastructure, and ensuring CI/CD pipelines for ML models. They work with tools like Kubernetes, Docker, and cloud platforms to streamline model deployment. Ultimately, an MLOps Engineer ensures that machine learning models are operationalized and continuously improved in a real-world environment.

What does a machine learning ops engineer do?

A typical day for a Machine Learning Ops Engineer involves collaborating with data scientists to streamline the deployment of models, building and maintaining scalable infrastructure on cloud services, and automating workflows with CI/CD tools. You may troubleshoot issues in production environments, monitor model performance, and implement solutions for model versioning and retraining. Often, you’ll work closely with software engineers, DevOps teams, and data analysts to ensure seamless integration of machine learning solutions into products. This cross-functional role keeps you engaged with cutting-edge technology and provides opportunities to influence both technical and business outcomes.

What skills and qualifications are needed to be a machine learning ops engineer?

To thrive as a Machine Learning Ops Engineer, you need a solid grasp of machine learning concepts, cloud platforms, software engineering, and DevOps practices, typically supported by a degree in computer science or a related field. Experience with tools like Docker, Kubernetes, TensorFlow, CI/CD pipelines, and certifications such as AWS Certified Machine Learning – Specialty are highly valuable. Strong problem-solving skills, communication, and the ability to work collaboratively across data science and engineering teams set top candidates apart. These skills ensure reliable deployment, scalability, and optimization of machine learning models in production environments.

Are machine learning ops engineers in demand?

Machine Learning Ops Engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Kubernetes and TensorFlow. The role is expected to grow as organizations prioritize AI-driven solutions and infrastructure automation.

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

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

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

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

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

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

What cities in California are hiring for Machine Learning Ops Engineer jobs?

Cities in California with the most Machine Learning Ops Engineer job openings:

Machine Learning Ops Engineer jobs near you
Infographic showing various Machine Learning Ops Engineer 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, with an average salary of $127,083 per year, or $61.1 per hour.

Machine Learning

Stackruit Ltd.

San Francisco, CA • On-site

$200 - $250/hr

Other

Posted 2 days ago

New

Job description

Be an AI Rockstar! First Machine Learning Engineer (US Remote – $200k-$250k)

Do you dream of using machine learning to empower businesses to take action on their data? Join a mission-driven company!

About Us
  • We’re building a revolutionary Reverse ETL platform that helps businesses seamlessly use their data.
  • Our platform empowers business users to automate actions and make data-driven decisions without coding.
  • We offer a collaborative and supportive environment with a focus on growth and innovation.
  • We value strong communication, a growth mindset, and a passion for achieving goals.
The Opportunity
  • Be the first Machine Learning Engineer on our team, building an intelligence layer for our platform.
  • You’ll leverage machine learning to help companies personalize messages, automate experiments, predict customer behavior, and generate content.
  • This is a remote role with a competitive salary, equity, and the chance to make a real impact.
You’re a Great Fit If You Have:
  • Machine learning expertise in areas like personalization, recommendation systems, experimentation, and content generation.
  • Experience building and deploying production machine learning models. Strong communication and collaboration skills.
  • A passion for learning and growing your skills.
Why This Remote Job is for You:
  • Work on cutting-edge machine learning projects that empower businesses.
  • Make a real impact on a product used by hundreds of companies.
  • Join a supportive and mission-driven team with a focus on growth.
  • Enjoy the flexibility and freedom of remote work.
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