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Machine Learning Intern Jobs in Santa Cruz, CA (NOW HIRING)

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Machine Learning Intern information

See Santa Cruz, CA salary details

$29.4K

$49.2K

$101.6K

How much do machine learning intern jobs pay per year?

As of Jul 27, 2026, the average yearly pay for machine learning intern in Santa Cruz, CA is $49,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $53,100.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Santa Cruz, CA? The most popular types of Machine Learning jobs in Santa Cruz, CA are:
What job categories do people searching Machine Learning Intern jobs in Santa Cruz, CA look for? The top searched job categories for Machine Learning Intern jobs in Santa Cruz, CA are:
What cities near Santa Cruz, CA are hiring for Machine Learning Intern jobs? Cities near Santa Cruz, CA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Santa Cruz, CA as of July 2026, with employment types broken down into 10% Internship, 1% As Needed, 53% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $49,170 per year, or $23.6 per hour.
Machine Learning Intern (Singapore)

Machine Learning Intern (Singapore)

TetraMem - Accelerate The World

San Jose, CA • On-site

$35 - $45/hr

Other

Posted 7 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 TetraMems 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 candidates education, experience, technical skills, and overall qualifications.

Work Location: This position is based on-site at TetraMems 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 TetraMems 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.

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