1

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

Programming using C, C++, and/or Python. * Machine learning and/or deep learning development. * AI framework usage including TensorFlow and/or PyTorch. * Reinforcement Learning and/or Generative AI ...

ASIC Gen-AI Data Scientist

Folsom, CA · On-site +1

$119K - $286K/yr

As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and sophisticated data analytics solutions for ...

New

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Machine Learning Visualization Tools * Minimum of 3 years of experience in the following: * Proficiency in programming languages like Python, R, or Java. * Familiarity with AI and machine learning ...

Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure ... Work closely with AI engineering, data science, and security teams to optimize Azure cloud ...

Position Overview We are looking for a Graphics Software Engineer where the key goal will be to ... Understanding in state-of-the-art machine learning and deep learning algorithms, techniques and ...

Posted today

Showing results 41-60

Machine Learning Engineer information

See Folsom, CA salary details

$33.7K

$137.7K

$206.9K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in Folsom, CA is $137,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $165,700.00 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 Folsom, CA?

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

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

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

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

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

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

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

Infographic showing various Machine Learning Engineer job openings in Folsom, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $137,693 per year, or $66.2 per hour.

Software Development Graduate Intern

Intel

Folsom, CA • On-site

$111K/yr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 161 rated electronics manufacturers


Job description

Job Details:Job Description: 

Role Overview

Join Intel's Software team and contribute to the development of next-generation technologies that power advances in Artificial Intelligence, machine learning, and computing platforms.

As a Software Development Graduate Intern, you will contribute to the design, development, testing, and optimization of system software across one or more layers of the software stack, including firmware, drivers, operating systems, middleware, and AI software frameworks. You will collaborate with experienced engineers to develop innovative solutions that enable Intel platforms and technologies while gaining hands-on industry experience.

What You'll Experience:

Key Responsibilities

  • Design, develop, test, and optimize software solutions using C, C++, and Python.
  • Support AI, machine learning, and deep learning initiatives across software and hardware platforms.
  • Develop and enhance workflows supporting MLOps and Deep Learning CI/CD pipelines.
  • Contribute to software performance analysis, debugging, and optimization.
  • Work with machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras.
  • Support research, development, and deployment efforts involving Generative AI, Large Language Models (LLMs), Diffusion Models, and Reinforcement Learning.
  • Collaborate with engineers across software, hardware, architecture, and AI disciplines.
  • Gain practical experience through real-world projects that support Intel business objectives and future technology innovations.

Behavioral Traits that we are looking for:

  • Curiosity: Eager to learn new technologies and explore unfamiliar problems
  • Initiative: Takes proactive steps to contribute and ask questions
  • Collaboration: Works well in team environments and values diverse perspectives
  • Analytical Thinking: Able to break down complex problems into manageable parts
  • Adaptability: Comfortable navigating ambiguity and evolving priorities
  • Communication: Clearly communicates technical ideas and findings
  • Growth Mindset: Open to feedback and continuously developing skills

What You Will Gain

  • Hands-on experience applying AI to real-world security challenges.
  • Mentorship from experienced engineers and researchers.
  • Exposure to industry tools, workflows, and best practices.
  • Opportunity to contribute to meaningful, impactful projects.

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.

See Intel Benefitsfor more details.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.

For information on Intel's immigration sponsorship guidelines, please see

Intel U.S. Immigration Sponsorship Information

Minimum Qualifications and Experience:

You should be pursuing a Master or PhD in Computer/Electrical Engineering, Computer Scienceor related STEM degree.

Must be available to work full-time for the duration of a 6+ month internship.

3+ months of academic or professional experience in following:

  • Software development in Linux and/or Windows environments.
  • Programming using C, C++, and/or Python.
  • Machine learning and/or deep learning development.
  • AI framework usage including TensorFlow and/or PyTorch.
  • Reinforcement Learning and/or Generative AI technologies including Large Language Models (LLMs) and Diffusion Models.

Preferred Qualifications and Experience:

  • Hands-on experience with triage/debug hardware-software issues.
  • Development or support of Deep Learning CI/CD or MLOps workflows.
  • Experience with creating robust, reliable Deep Learning deployment solutions.
Job Type:Student / InternShift:Shift 1 (United States of America)Primary Location: US, California, FolsomAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $111,098.00-111,102.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Intel logo

About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968