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Machine Learning Software Engineer Intern Jobs in San Jose, CA

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$160K - $220K/yr

Who You Are We're looking for innovative and passionate Machine Learning Engineers to join our team ... Good understanding of software development principles, data structures, and algorithms. * Excellent ...

Tenex.AI Inc

Software Engineer Intern

San Jose, CA · On-site

We are seeking a highly motivated and versatile Full Stack Engineer Intern to join our core ... Participate in all aspects of software development activities, including design, coding, code ...

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

Machine Learning Software Engineer Intern information

See San Jose, CA salary details

$15

$29

$45

How much do machine learning software engineer intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for machine learning software engineer intern in San Jose, CA is $29.79, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $33.80 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

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

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

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

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

Machine Learning Software Engineer Intern jobs near you

Software Engineer Intern

SupportFinity™

San Francisco, CA • On-site

$89 - $134/hr

Other

Posted 9 days ago

Job description

Company Description

Mercator is building AI agents that coordinate global supply chains. Today’s systems leak $1.7T in waste each year in retail alone -- in overproduction, lost revenue, and unnecessary emissions.

Company Description

Mercator is building AI agents that coordinate global supply chains. Today’s systems leak $1.7T in waste each year in retail alone -- in overproduction, lost revenue, and unnecessary emissions.

Mercator’s founders are seasoned technical operators with a decade of experience leading cutting-edge AI and simulation efforts across Google (Gemini, Tensorflow, Google X). We recently raised $5M in seed funding from leading Silicon Valley investors and are scaling our small, elite engineering team to meet growing customer demand.

Role Description

As an software engineering intern at Mercator, you’ll work on core systems that power our AI-driven supply chain platform. We’re flexible on role shape: depending on your strengths and interests, you may work on AI/LLM workflows, full-stack product features, or backend and simulation infrastructure. You’ll prototype quickly and iterate with real customer data.

You’ll work closely with the founders, participate in design discussions, and see your work directly impact product decisions. This role is ideal for interns who enjoy solving ambiguous problems, shipping fast, and learning across the stack in a fast-moving environment.

Compensation

The salary range for this role is between $8K-$12K/month. Starting pay will be based on a number of factors, including qualifications & experience.

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