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Ml Platform Engineer Jobs in California (NOW HIRING)

Jobtailor

ML Platform Engineer

Burbank, CA · On-site

$120 - $180/hr

... ML Engineering. * Deep experience developing as a team in Python * Deep experience designing and implementing MLOps platforms in a cloud environment * Deep experience implementing CI/CD workflows ...

Guidewire Software

ML Platform Engineer

San Mateo, CA

$124K - $210K/yr

Summary As an ML Platform Engineer, you'll help build and evolve the infrastructure that enables machine learning teams to develop, deploy, and operate models efficiently at scale. You'll work ...

Guidewire Software

ML Platform Engineer

San Mateo, CA · On-site

$124K - $210K/yr

Summary As an ML Platform Engineer, you'll help build and evolve the infrastructure that enables machine learning teams to develop, deploy, and operate models efficiently at scale. You'll work ...

Hadrian Automation

ML Platform Engineer

Santa Monica, CA · On-site

$170 - $300/hr

... platform engineers. What We're Looking For * Track record building and operating production ML infrastructure across multiple models or inference workloads. * Strong production-level Python and SQL ...

Hadrian Automation

ML Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

... platform engineers. What We're Looking For * Track record building and operating production ML infrastructure across multiple models or inference workloads. * Strong production-level Python and SQL ...

Hadrian Automation, Inc

ML Platform Engineer

Los Angeles, CA · On-site

$170K - $300K/yr

... platform engineers. What We're Looking For * Track record building and operating production ML infrastructure across multiple models or inference workloads. * Strong production-level Python and SQL ...

Socket.dev

ML Platform Engineer

Los Angeles, CA · On-site

$170 - $300/hr

... platform engineers. What We're Looking For * Track record building and operating production ML infrastructure across multiple models or inference workloads. * Strong production-level Python and SQL ...

Hadrian Automation

ML Platform Engineer

Los Angeles, CA · On-site

$170 - $300/hr

... platform engineers. What We're Looking For * Track record building and operating production ML infrastructure across multiple models or inference workloads. * Strong production-level Python and SQL ...

Paramount

Senior ML Platform Engineer

Burbank, CA · On-site

$130K - $195K/yr

ML Platform Engineer Department : Data & Insight Group Location: New York City, Los Angeles, San Francisco We are seeking a Sr. ML Platform Engineer who is excited to deploy MLOps products that shape ...

Paramount

Senior ML Platform Engineer

Burbank, CA · On-site

$130K - $195K/yr

Job Title: Sr. ML Platform Engineer Department : Data & Insight Group Location: New York City, Los Angeles, San Francisco We are seeking a Sr. ML Platform Engineer who is excited to deploy MLOps ...

Paramount Pictures

Senior ML Platform Engineer

Burbank, CA · On-site

$130.20 - $195.30/hr

Burbank, CA, US, 91505 New York, NY, US, 10036 Research Burbank Full-Time On-Site We are seeking a Sr. ML Platform Engineer who is excited to deploy MLOps products that shape business strategy ...

Albert Invent

Staff ML Ops Engineer

Oakland, CA · On-site

Our platform helps scientists and engineers build structured data foundations, digitize formulation ... You'll be embedded with ML engineers and researchers, building robust systems that turn ambitious ...

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All JobsMl Platform Engineer JobsMl Platform Engineer Jobs in California

Ml Platform Engineer information

See California salary details

$32

$63

$93

How much do ml platform engineer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ml platform engineer in California is $63.12, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $72.84 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

What are popular job titles related to Ml Platform Engineer jobs in California?

For Ml Platform Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Ml Platform Engineer jobs in California look for?

The top searched job categories for Ml Platform Engineer jobs in California are:

What cities in California are hiring for Ml Platform Engineer jobs?

Cities in California with the most Ml Platform Engineer job openings:

Ml Platform Engineer jobs near you
Infographic showing various Ml Platform Engineer job openings in California as of August 2026, with employment types broken down into 54% Full Time, 42% Part Time, and 4% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $131,284 per year, or $63.1 per hour.

ML Platform Engineer

Jobtailor

Burbank, CA • On-site

$120 - $180/hr

Other

Posted 6 days ago

Job description

Responsibilities
  • Design and implement our greenfield ML platform 10Xing the Data Science team’s impact
  • Work closely with Data Scientists to understand their development needs
  • Work closely with Stakeholders to understand the business problems driving model deployments and how models can augment their workflows
  • Assess and integrate cutting‑edge software and practices in Data Science and MLOps.
  • Refactor disjointed data science scripts and workflows into modular 'skills'
Requirements
  • 3+ years experience in Data Science and ML Engineering.
  • Deep experience developing as a team in Python
  • Deep experience designing and implementing MLOps platforms in a cloud environment
  • Deep experience implementing CI/CD workflows that manage model deployments
  • Experience developing containerized applications
  • Ability to innovate without over-engineering
  • Familiarity with well‑known statistical and ML models and methods
  • Strong detail orientation with a penchant for deployment reliability
  • Must successfully pass a background check
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