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Machine Learning Engineer Jobs in Fontana, CA (NOW HIRING)

Esri

C/C++ Software Development Engineer II

Redlands, CA · On-site

Work alongside senior engineers to design and implement innovative features * Stay informed about ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

VSolvit, LLC.

DATA SCIENTIST II

Norco, CA · On-site

$115 - $130/hr

Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Knowledge of SQL and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer ... Responsibilities : • Develop Python-based machine learning components that enhance how users ...

Esri

C/C++ Software Development Engineer II

Redlands, CA · On-site

$101K - $167K/yr

Work alongside senior engineers to design and implement innovative features * Stay informed about ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Fontana, CA

Machine Learning Engineer information

See Fontana, CA salary details

$32K

$130.9K

$196.7K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Fontana, CA is $130,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $157,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Fontana, CA?

The most popular types of Machine Learning Engineer jobs in Fontana, CA are:

What are popular job titles related to Machine Learning Engineer jobs in Fontana, CA?

For Machine Learning Engineer jobs in Fontana, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Fontana, CA look for?

The top searched job categories for Machine Learning Engineer jobs in Fontana, CA are:

What cities near Fontana, CA are hiring for Machine Learning Engineer jobs?

Cities near Fontana, CA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Fontana, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $130,912 per year, or $62.9 per hour.

C/C++ Software Development Engineer II

Esri

Redlands, CA • On-site

Full-time

Re-posted 19 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

Job Summary:
Esri is a leader in geographic information systems (GIS) technology, and they are seeking a C/C++ Software Development Engineer II to join their Desktop Architecture team. In this role, you will develop and maintain software frameworks while collaborating with senior engineers to enhance system performance and reliability.
Responsibilities:
• Develop, enhance, and maintain extensive C/C++ software frameworks
• Diagnose and resolve defects utilizing debugging and profiling tools
• Leverage your knowledge of operating system internals to contribute to a secure and robust software design.
• Work alongside senior engineers to design and implement innovative features
• Stay informed about technical trends and actively engage in learning across a broad range of topics, including software architecture, encryption, optimization, machine learning, computer hardware, and the business of software, to enhance your contributions to the team
Qualifications:
Required:
• 2+ years of demonstrated experience in C/C++ software development
• Understanding and experience with software testing patterns and fundamentals
• Strong grasp of operating systems concepts and computer security fundamentals
• Proficiency in debugging, troubleshooting, and performance analysis
• Awareness of technical trends and a keen interest in a broad range of topics, including software architecture, encryption, optimization, machine learning, computer hardware, and the business of software
• Bachelor’s degree in computer science, engineering, mathematics, or STEM related field
Preferred:
• Strong knowledge of Windows operating system internals
• Familiarity with C# and UI frameworks such as WPF or WinForms
• Understanding of COM, IPC, threading, and concurrency
• Familiarity with x64 or ARM assembly language
• Master’s degree in computer science, engineering, mathematics, or STEM related field
Company:
Esri is a software company that devolops geographic information system software, location intelligence, and mapping. Founded in 1969, the company is headquartered in Redlands, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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