ZipRecruiter

Log In

1

Machine Learning Developer Jobs in California (NOW HIRING)

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 ...

NTENT

Machine Learning Engineer

Carlsbad, CA

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 ...

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 ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Developer JobsMachine Learning Developer Jobs in California

Machine Learning Developer information

See California salary details

$18

$37

$51

How much do machine learning developer jobs pay per hour?

As of May 28, 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 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.

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 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.

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 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 May 2026, with employment types broken down into 74% Full Time, 10% Part Time, 12% Contract, 2% Nights, and 2% Summer. Highlights an 71% Physical, 3% Hybrid, and 26% 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

This job post has expired today. Applications are no longer accepted.

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

Apply