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Fall Machine Learning Co Op Jobs in Alameda, CA (NOW HIRING)

Waabi

Research Internship/Co-op

San Francisco, CA

$45 - $60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

LiveRamp

Co-Op, DevOps Engineer

San Francisco, CA · On-site

$62.25 - $85/hr

Get ready for the best learning experience of your life. You will receive the same orientation ... Co-Op DevOps Engineer LiveRamp is the data collaboration platform of choice for the world's most ...

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All JobsFall Machine Learning Co Op JobsFall Machine Learning Co Op Jobs in Alameda, CA

Fall Machine Learning Co Op information

See Alameda, CA salary details

$28.9K

$48.3K

$99.7K

How much do fall machine learning co op jobs pay per year?

As of Aug 21, 2026, the average yearly pay for fall machine learning co op in Alameda, CA is $48,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What job categories do people searching Fall Machine Learning Co Op jobs in Alameda, CA look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Alameda, CA are:

What cities near Alameda, CA are hiring for Fall Machine Learning Co Op jobs?

Cities near Alameda, CA with the most Fall Machine Learning Co Op job openings:

Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Alameda, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,263 per year, or $23.2 per hour.

2027 Undergrad Hardware Engineering intern/co-op

Advanced Micro Devices, Inc

San Jose, CA • Hybrid

$19.75 - $25.50/hr

Full-time, Internship

Posted 15 hours ago

Posted today

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers

Job description


ADVANCE YOUR CAREER. ADVANCE THE WORLD. 

At AMD, we believe technology 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 AMD is shaping the future. 

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that 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: 

Do you want to help improve experiences of groundbreaking AMD products? If so, AMD Hardware team is the right place for you. We are seeking a highly motivated Hardware Engineering intern/co-op and in this role: 

  • You will collaborate with Engineers and be responsible for some of AMD’s discrete and embedded hardware products. 
  • We will train you to build applications for external and internal use as well as large scale systems that improve the efficiency of AMD Hardware organization. 

WHO WE ARE LOOKING FOR: 

  • You are currently enrolled in a US based University into a Undergrad program majoring in Electrical Engineering or Computer Engineering 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 – 
    • C/C++, Verilog, VHDL, Python, Perl, Spice, Ruby, Chrome OS, MATLAB. 
    • ASIC design and verification. 
    • ML and AI. 
    • System/Board design, circuit board layout, signal integrity, power design. 
    • Hardware automation, validation and test.  
    • UNIX and JTAG tools. 
    • Pre-silicon and/or post-silicon platforms.  
    • Computer architecture, CPU & GPU architecture. 

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of intern opportunities, a recruiter will contact you. 

This role is not eligible for visa sponsorship.



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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.

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

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