ZipRecruiter

Log In

1

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

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Under the guidance of senior team members, apply machine learning and data science algorithms to ... Experience with Python programming and software development, including version control (Git ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Under the guidance of senior team members, apply machine learning and data science algorithms to ... Experience with Python programming and software development, including version control (Git ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Under the guidance of senior team members, apply machine learning and data science algorithms to ... Experience with Python programming and software development, including version control (Git ...

Symbotic

System Engineer

Lathrop, CA · On-site

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Symbotic

System Engineer

Lathrop, CA · On-site

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Aerotek

Cnc Machinist

Livermore, CA

$23 - $31.50/hr

Monitor machine operations during production to ensure dimensional accuracy, surface finish, and ... Interest in learning CNC programming and advancing into programming, supervisory, or management ...

Aerotek

Cnc Machinist

Livermore, CA

$23 - $31.50/hr

Monitor machine operations during production to ensure dimensional accuracy, surface finish, and ... Interest in learning CNC programming and advancing into programming, supervisory, or management ...

Ichor Systems

Manufacturing Engineer

Livermore, CA

$81K - $138K/yr

This role requires aerospace or machining manufacturing experience and is responsible for CAD ... Passion for learning and a drive to succeed. Skills, Knowledge, and Abilities. * Analytical and ...

Ichor Systems, Inc.

Manufacturing Engineer

Livermore, CA · On-site

$81K - $138K/yr

This role requires aerospace or machining manufacturing experience and is responsible for CAD ... Passion for learning and a drive to succeed. Skills, Knowledge, and Abilities. * Analytical and ...

previous pagenext page

Showing results 21-40

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

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 Aug 10, 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 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 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:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Stockton, CA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $135,638 per year, or $65.2 per hour.

Junior Data Scientist with BI Skills

SynergisticIT

Livermore, CA • On-site

Other

Posted 9 days ago

Job description

Career Changer to Tech — Bring Your Experience, Build the Missing Skills Coming from business, healthcare, finance, education, operations, retail, QA, or project management? You may already have valuable workplace strengths: communication, problem-solving, stakeholder management, domain knowledge, and accountability. What you may be missing is the technical foundation and project proof needed to compete for tech roles. SynergisticIT is seeking motivated career changers interested in Java development, Python programming, full-stack development, data analytics, data science, data engineering, and ML/AI pathways. This opportunity is ideal for candidates who are serious about switching into technology and want a structured path rather than random learning. SynergisticIT JOPP is good for career changers because it helps convert potential into a job-ready profile. Candidates can focus on technical upskilling, practical projects, resume transformation, interview coaching, and positioning their previous experience as an advantage rather than a limitation. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP : https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ If you are ready to switch into tech with a focused plan, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Apply