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

Lightning AI

Senior Software Engineer, Agents

London, CA

$122K - $161K/yr

As AI agents move from prototypes to production, developers need reliable systems for orchestrating workflows, coordinating models, executing tools, and managing long-running state. Our goal is to ...

Team Blair, Church & Flynn

Lead Civil Engineer

Clovis, CA · On-site

$115K - $131K/yr

Professional Engineers are responsible for assessment, planning, evaluation, design, permitting and construction support for a wide range of infrastructure projects, including transportation, water ...

Luster National

Senior Right of Way Engineer

Fresno, CA · On-site

About the Positions We're seeking Senior Right-of-Way Engineers to support right-of-way engineering activities on major transit capital programs, delivered through traditional and alternative methods ...

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Showing results 41-60

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

Machine Learning Engineer information

See Fresno, CA salary details

$31.3K

$127.9K

$192.1K

How much do machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer in Fresno, CA is $127,856.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $153,900.00 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 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 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 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 Fresno, CA?

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

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

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

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Fresno, CA as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,856 per year, or $61.5 per hour.

Software Engineer

Quest Diagnostics Incorporated

Fresno, CA

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

ExamOne rating

6.6

Company rating: 6.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

97th of 120 rated laboratories

Job description

Job brief

Quest Diagnostics is looking for a Software Engineer to create well-designed, effective, testable, and specification-compliant code and carry out the entire product development lifecycle.

Responsibilities

  • Create new functionalities and redesign certain aspects of an already-existing system.
  • Engage in prototyping, reviews, and test-driven, iterative development with a development team.
  • Create and write middle- and back-end code in an organized and effective manner.
  • Implement scalable and robust services.
  • Develop external and internal APIs.
  • Develop and run unit and performance tests to ensure scalability and reliability.
  • Review and debug code.
  • Develops documentation, flowcharts, layouts, diagrams, charts, code comments, and clean code to explain and show solutions.
  • Determines and designs system specifications, standards, and programming to prepare and install solutions.

Requirements

  • Between 1 and 3 years of experience in software engineering
  • Experience developing server-side web applications in Java
  • Experience developing Java Web Services with public API (e.g. REST, SOAP)
  • Proficient in object-oriented development
  • Able to effectively and quickly adopt new technology
  • Knowledge of Java frameworks, architecture, and design patterns
  • Good communication skills

Benefits

  • 401(k)
  • Dental insurance
  • Disability insurance
  • Employee stock purchase plan
  • Health insurance
  • Life insurance
  • Paid time off
  • Vision insurance
  • $110,000- $125,000 Annually 

What ExamOne employees say

Pay

Benefits

Hours and flexibility

Workplace

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