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Machine Learning Developer Jobs in California (NOW HIRING)

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs . If you're excited by real-world ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Prosum Inc.

Machine Learning Engineer

CA · On-site

$75 - $89/hr

This position requires strong experience in MLOps, DevOps practices, and cloud-based AI infrastructure. Key Responsibilities * Design, build, deploy, and maintain machine learning models in ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

RIT Solutions

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine ...

Poesis LLC

Machine Learning Engineer

Menlo Park, CA

Poesis Machine Learning Engineer At Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. We ...

LeanData

Machine Learning Engineer

Santa Clara, CA · On-site

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

Happy Elements

Machine Learning Engineer

San Francisco, CA · On-site

$149K - $250K/yr

Machine Learning Engineer Location: San Francisco, CA Salary: $149,998.00 - $250,000.00 Responsibilities * Build, maintain, and improve efficient and reliable data mining and machine learning models.

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

They are seeking a Machine Learning Engineer to design and develop machine learning and AI capabilities, contributing to object classification, anomaly detection, and data-driven decision-making.

Eragon

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer We're looking for a Machine Learning Engineer to build and deploy production-grade AI systems. In this role, you'll take models from research to real-world applications ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

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Machine Learning Developer information

See California salary details

$18

$37

$51

How much do machine learning developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for machine learning developer in California is $37.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $51.25 per hour, depending on experience, location, and employer.

What does a Machine Learning Developer do?

A Machine Learning Developer designs, builds, and implements machine learning models and systems that enable computers to learn from data without explicit programming. They work with large datasets, select appropriate algorithms, and optimize models for various tasks such as predictions, classifications, and recommendations. Their responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Machine Learning Developers typically collaborate with data scientists, software engineers, and business teams to deliver AI-powered solutions.

Is ML a high paying job?

Machine Learning Developer roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming in Python or R and knowledge of algorithms and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other tech positions.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level reflects significant expertise, responsibility, and impact within the organization.

What engineers make $500,000?

Senior machine learning developers and AI engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, or equity compensation.

What is the difference between Machine Learning Developer vs Data Scientist?

AspectMachine Learning DeveloperData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; certifications like TensorFlow or AWS MLBachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops and deploys ML models in software or cloud environmentsAnalyzes data, builds models, and provides insights for decision-making
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, predictive modeling, and insights

Both roles require strong programming skills and knowledge of ML algorithms. Machine Learning Developers focus on building and deploying models in production environments, while Data Scientists analyze data to inform business decisions. The roles often overlap but differ mainly in their primary focus and end goals.

What are some common challenges faced by Machine Learning Developers when deploying models to production environments?

Machine Learning Developers often encounter challenges such as ensuring model scalability, managing data drift, and integrating models with existing systems during deployment. Another frequent hurdle is monitoring model performance in real time and retraining models as new data becomes available. Collaborating closely with data engineers, DevOps, and software developers is essential to streamline the deployment pipeline and maintain model reliability in production.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer, and why are they important?

To excel as a Machine Learning Developer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, as are certifications in data science or AI. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data findings into actionable solutions. These skills and qualities are essential to develop accurate models, collaborate with stakeholders, and drive innovation in a rapidly evolving field.

Which 3 jobs will survive AI?

For a Machine Learning Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as data scientists, AI ethics specialists, and domain-specific experts. These jobs involve understanding context, ethical considerations, and nuanced decision-making that AI cannot fully replicate. Continuous learning and expertise in specialized tools like TensorFlow or PyTorch enhance job security in this field.
What are popular job titles related to Machine Learning Developer jobs in California? For Machine Learning Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Developer jobs in California look for? The top searched job categories for Machine Learning Developer jobs in California are:
Machine Learning Developer jobs near you
Infographic showing various Machine Learning Developer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $78,864 per year, or $37.9 per hour.
Machine Learning Developer III

Machine Learning Developer III

Apex Informatics

San Diego, CA • On-site

Full-time

Posted 22 days ago

Job description

Develop and implement innovative AI and machine learning tools that will be used to improve and automate business processes. Develop and implement innovative data quality improvement tools. Strong background in algorithms, mathematics and/or statistics. Programming experience in Python, R, Q, Matlab, Perl, C++, Java or other programming languages
Advanced skills required across: - Python - SQL - GenAI - Machine Learning (strong background in algorithms) - Databricks - Verbal and written communication - Rapid prototyping

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