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Machine Learning Co Op Jobs in California (NOW HIRING)

AMD

2027 PhD Research Engineering Intern/Co-op

San Jose, CA · On-site

$19.75 - $25.50/hr

As an AMD intern and co-op, you'll be placed at the epicenter of the AI ecosystem, working ... software co-design, machine learning) * FPGA or ASIC-based RTL design and verification, FPGA ...

Skyworks

$22.50 - $42/hr

This is a hands-on, full-time co-op role in which you will help design, build, and deploy machine learning solutions that support engineering and business teams across the company. Working alongside ...

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Machine Learning Co Op information

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$23

$60

How much do machine learning co op jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for machine learning co op in California is $23.62, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $27.45 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What are the most commonly searched types of Machine Learning jobs in California?

The most popular types of Machine Learning jobs in California are:

What cities in California are hiring for Machine Learning Co Op jobs?

Cities in California with the most Machine Learning Co Op job openings:

Machine Learning Co Op jobs near you
Infographic showing various Machine Learning Co Op job openings in California as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $49,125 per year, or $23.6 per hour.

2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

San Jose, CA • On-site

Advanced Micro Devices
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Advanced Micro Devicesexternal

Other

Posted 25 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believetechnology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMDis shapingthefuture.

Whetheryou’redesigning next-gen processors, enabling AI breakthroughs, orbringing leading edge products to market, every role at AMD contributes to something bigger— technologythat moves the world forward.Join us and, together, we’ll advance your career.

As an AMD Co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

Job Details:
  • Locations: San Jose, CA or Santa Clara, CA
  • Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
Duration:
  • Spring/Summer Co-op: January 15, 2027 - August 13, 2027
  • Summer Internship:
    • Semester Students: May 24, 2027 - August 13, 2027
    • Quarter Students: June 21, 2027 - September 10, 2027
  • Summer/Fall Co-op:
    • Semester Students: May 24, 2027 - December 10, 2027
    • Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:

We are seeking a highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role –

  • We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
  • We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
  • We may assign you to one or more of the following project work -
  • Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
    • Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
    • Fixing and addressing problems with deployed AI to improve user experience
    • Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
  • You are currently enrolled in a US based University in a Master’s degree program majoring in computer science, computer engineering, data science / analytics, or a related field
  • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
    • Machine learning, data science, computer vision, statistics, and mathematics
    • Programming in Python, C/C++
    • Relational (SQL) and no-SQL databases
    • Machine learning algorithms and frameworks
    • Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
    • Familiarity with cloud (e.g., AWS, GCP, Azure)

This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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