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

CNC Machinist

Modesto, CA ยท On-site

$30/hr

Top Job Located in Modesto, CA Salary: $30 an hour CNC Machine Operator 2 Pay & Schedule * Pay: $30 ... Read and interpret basic engineering drawings. * Use measuring tools such as calipers, micrometers ...

Senior SAP Consultant

Modesto, CA ยท On-site

$150 - $190/hr

Experience with Agile or DevOps delivery methodologies. * Exposure to AI, SAP Business AI, SAP Joule, SAP BTP, machine learning, or enterprise automation initiatives. * SAP certifications are a plus.

Engineer, Manufacturing 3

Livermore, CA ยท On-site

$130 - $150/hr

Health Spending Plans * Comprehensive Online Learning Center - houses thousands of training ... Knowledge of complex machining processes and equipment (mill, lathe, screw machine, etc.). * In ...

Showing results 41-60

Machine Learning Engineer information

See Stockton, CA salary details

$33.2K

$135.6K

$203.8K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in Stockton, CA is $135,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $163,300.00 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.

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

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

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

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

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

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

Infographic showing various Machine Learning Engineer job openings in Stockton, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $135,638 per year, or $65.2 per hour.

CNC Machinist

Express Employment

Modesto, CA โ€ข On-site

$30/hr

Full-time

Posted 24 days ago


Job description

Top Job
Located in Modesto, CA
Salary: $30 an hour
CNC Machine Operator 2
Pay & Schedule
  • Pay: $30.00 per hour
  • Schedule: Monday-Friday
  • Hours: 6:30 AM-4:00 PM

Position Overview
The CNC Machine Operator 2 operates CNC machinery and assists with machining a variety of components. This is an intermediate-level position that requires more experience and knowledge than a CNC Machine Operator 1.
The ideal candidate should be comfortable operating multiple machines, reading basic engineering drawings, using precision measuring tools, and troubleshooting common machining issues.
Key Responsibilities
  • Operate CNC machines and efficiently run multiple machines or work centers.
  • Set up machines by identifying the correct tooling and fixtures.
  • Load materials into machines and monitor the machining process.
  • Inspect finished components to ensure they meet required specifications.
  • Read and interpret basic engineering drawings.
  • Use measuring tools such as calipers, micrometers, and tape measures to check measurements and tolerances.
  • Deburr finished parts.
  • Clear common machine alarms and troubleshoot basic machining issues.
  • Identify problems that could affect product quality and notify the supervisor.
  • Troubleshoot issues such as poor surface finish, tool wear, and accuracy problems.
  • Maintain production logs and digital records.
  • Keep machines and the surrounding work area clean and organized.
  • Assist with basic machine maintenance.
  • Operate manual lathes and mills for simple operations such as countersinking and turning parts.
  • Use commonly used software and internal company programs.

Equipment Experience
Candidates should be comfortable using or learning to use:
  • CNC machinery
  • Overhead cranes
  • Forklifts
  • Hydraulic presses
  • Manual lathes and mills

#3237#Modesto#CNCMachinist
Express Office: Modesto
300 Banner Court
Suite 2
Modesto, CA 95356

Express Employment Professionals logo

About Express Employment Professionals

Sourced by ZipRecruiter

Express Employment Professionals, based in Oklahoma City, OK, USA, operates in the staffing industry and is renowned for providing robust and reliable staffing solutions. Their official website - expresspros.com - details their variety of services, which include temporary and full-time staffing, human resources services, and professional search. The company was established in 1983 with the aim of helping as many people as possible to find good jobs, and since then, it has grown exponentially, expanding its reach to various domains within the job market.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Oklahoma City, OK, US

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