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Learning Intern Jobs in Milpitas, CA (NOW HIRING)

Strong foundation in classification and supervised learning. Preferred Skills: Nice-to-Haves * Experience with distributed processing (e.g., Spark or Ray). Understanding of autonomous driving ...

Strong foundation in classification and supervised learning. Preferred Skills: Nice-to-Haves * Experience with distributed processing (e.g., Spark or Ray). Understanding of autonomous driving ...

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Learning Intern information

See Milpitas, CA salary details

$10

$19

$28

How much do learning intern jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for learning intern in Milpitas, CA is $19.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a learning intern?

To thrive as a Learning Intern, you need strong organizational skills, a willingness to learn, and a basic understanding of educational principles, often supported by ongoing studies in education or a related field. Familiarity with learning management systems (LMS), online collaboration tools, and basic office software is typically required. Strong communication, adaptability, and teamwork make a candidate stand out in this role. These skills and qualities are vital for effectively supporting educational programs and adapting to the dynamic needs of learners and educators.

What is a learning intern?

A Learning Intern is typically a student or recent graduate who works temporarily within an organization to gain practical experience in educational programs, training, or instructional support. Their responsibilities may include assisting with curriculum development, supporting classroom activities, conducting research, and helping with administrative tasks related to learning initiatives. The internship is designed to provide valuable insights into educational practices and help interns build relevant skills for future careers in education or training.

What types of projects or tasks can a learning intern expect to work on during their internship?

As a Learning Intern, you’ll typically be involved in supporting the development and delivery of training materials, assisting with e-learning modules, and helping coordinate workshops or webinars. You may also be tasked with evaluating training effectiveness through surveys or feedback, conducting research on learning best practices, and collaborating with instructional designers or trainers. This hands-on experience provides a comprehensive view of the learning and development process, and offers opportunities to build practical skills in content creation, project coordination, and stakeholder communication.

What is the difference between Learning Intern vs Training Coordinator?

AspectLearning InternTraining Coordinator
Required CredentialsTypically pursuing or recent graduate, some internships may require coursework in education or related fieldsUsually requires a degree in education, human resources, or related field; experience preferred
Work EnvironmentInternship setting, often in corporate training departments or educational institutionsOffice environment, managing training programs and coordinating sessions
Employer & Industry UsageCommon in corporate, nonprofit, and educational sectors for entry-level training supportUsed across industries to organize and oversee employee training initiatives

The Learning Intern role is typically an entry-level position aimed at gaining experience in training and education, often held by students or recent graduates. In contrast, the Training Coordinator manages and implements training programs, requiring more experience and responsibility. Both roles support employee development but differ in scope and experience level.

What cities near Milpitas, CA are hiring for Learning Intern jobs? Cities near Milpitas, CA with the most Learning Intern job openings:

Machine Learning Intern (Singapore)

TETRAMEM INC

San Jose, CA

$35 - $45/hr

Internship

Re-posted 20 days ago


Job description

About the Role
We are seeking a Software Intern to support the development of tools, frameworks, and applications that enable neural network models to run efficiently on TetraMem’s novel analog compute-in-memory chips. This is an exciting opportunity to work at the intersection of software, hardware, and artificial intelligence.


Responsibilities

  • Develop, optimize, and maintain Python and C++ software for neural network model compression, conversion, deployment, and runtime environments.
  • Design and implement tools to improve machine learning model efficiency, including quantization, pruning, graph optimization, and memory reduction techniques.
  • Analyze and adapt machine learning models to improve compatibility, performance, and power efficiency on Compute-in-Memory (CIM) and Analog AI hardware architectures.
  • Develop software frameworks, APIs, and runtime components to support end-to-end AI model deployment on edge AI and embedded systems.
  • Perform software design, implementation, debugging, testing, and performance profiling to optimize system throughput, latency, and resource utilization.
  • Collaborate closely with AI researchers, hardware engineers, and system architects to validate hardware-software co-design and system-level functionality.
  • Evaluate emerging machine learning models, algorithms, and deployment techniques to enhance AI inference performance on next-generation semiconductor platforms.
  • Participate in code reviews, establish software quality standards, and contribute to automated testing, continuous integration, and technical documentation.
  • Troubleshoot software and system issues across the AI stack, including model conversion pipelines, runtime environments, and hardware acceleration frameworks.
  • Contribute to the development of innovative AI computing technologies and support research activities through technical presentations, publications, patents, and cross-functional collaboration.


Qualifications
• Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
• Solid programming experience in Python, C++, or similar
• Understanding of data structures, algorithms, and software architecture
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus
• Strong problem-solving skills and eagerness to learn

Compensation

• Hourly Rate: $35.00 – $45.00 per hour (USD)

• The final compensation will be determined based on the candidate’s education, experience, technical skills, and overall qualifications.

Work Location: This position is based on-site at TetraMem’s U.S. office in San Jose, California.

TetraMem celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to be an Equal Opportunity Employer and welcome applicants from all backgrounds. Qualified candidates will receive consideration for employment without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, marital status, medical condition, disability, genetic information, military or veteran status, or any other characteristic protected by applicable federal, state, or local law.
TetraMem is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the recruitment process. Applicants requiring accommodation may contact Human Resources for assistance.
To ensure a fair, consistent, and efficient hiring process, all candidates must apply through TetraMem’s official ClearCompany Applicant Tracking System (ATS). Applications submitted through the ATS allow our hiring team to evaluate candidates using a standardized process and ensure timely communication throughout the recruitment process. To promote equal consideration for all applicants, applications submitted outside of the ClearCompany ATS, including direct emails, LinkedIn messages, or unsolicited submissions to employees, may not be reviewed or considered.
We encourage all interested candidates to apply through the official TetraMem Careers page.