ZipRecruiter

Log In

1

Machine Learning Intern Jobs in San Jose, CA (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in San Jose, CA

Machine Learning Intern information

See San Jose, CA salary details

$29.9K

$49.9K

$103.1K

How much do machine learning intern jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning intern in San Jose, CA is $49,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $53,900.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs

What are the most commonly searched types of Machine Learning jobs in San Jose, CA?

The most popular types of Machine Learning jobs in San Jose, CA are:

What are popular job titles related to Machine Learning Intern jobs in San Jose, CA?

For Machine Learning Intern jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in San Jose, CA look for?

The top searched job categories for Machine Learning Intern jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Machine Learning Intern jobs?

Cities near San Jose, CA with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $49,908 per year, or $24 per hour.

US 2026 Software - Machine Learning Intern

TetraMem, Inc.

San Jose, CA โ€ข On-site

$35 - $45/hr

Full-time, Internship

Re-posted 9 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
๏ฟฝ Develop and optimize Python or C++ code for neural network and machine learning model compression, conversion, deployment, and runtime environments
๏ฟฝ Analyze and adapt ML models for to improve their compatibility and efficiency on compute-in-memory hardware and software
๏ฟฝ Support software design, development, and performance profiling
๏ฟฝ Collaborate with AI researchers and hardware engineers to validate system-level functionality
๏ฟฝ Participate in code reviews, testing, and documentation
Qualifications
๏ฟฝ Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
๏ฟฝ Solid programming experience in Python, C++, or similar
๏ฟฝ Understanding of data structures, algorithms, and software architecture
๏ฟฝ Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus
๏ฟฝ Strong problem-solving skills and eagerness to learn
Salary Range: $35-45 USD/hr
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.

Apply