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Machine Learning Software Engineer Intern Jobs in San Jose, CA

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ...

SERVAL SAS

Software Engineer Intern

San Francisco, CA

... learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion ... Role Overview As a Software Engineer Intern, Backend at Serval, you'll work directly on core parts ...

Serval Inc

Software Engineer Intern

San Francisco, CA · On-site

... learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion ... Role Overview As a Software Engineer Intern, Backend at Serval, you'll work directly on core parts ...

Meta

Software Engineer, Machine Learning

Sunnyvale, CA · On-site

$347K/yr

Software Engineer, Machine Learning Responsibilities: * Define and own the technical architecture of critical machine learning systems, including model training pipelines, inference infrastructure ...

Meta

Software Engineer, Machine Learning

Menlo Park, CA · On-site

$347K/yr

Software Engineer, Machine Learning Responsibilities: * Define and own the technical architecture of critical machine learning systems, including model training pipelines, inference infrastructure ...

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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 5, 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

AI Software Engineer Intern

Nirmata

San Jose, CA • On-site

Internship

Posted 9 days ago

Job description

About the Role:

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure powering Nirmata's Policy Management platform. You will also contribute to the development of AI-powered features. This is a unique opportunity to contribute to a rapidly growing domain within a fast-moving startup.

What We Offer:

  • Hands-on experience with real-world software development projects
  • Mentorship from experienced software engineers.
  • An inclusive and collaborative work environment.
  • Opportunity to be part of an early stage startup.
  • Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go, orchestrated with Kubernetes, utilizing MongoDB for no-SQL data storage, and leveraging Kafka for event processing

Qualifications:

  • Education: Bachelor's or Master's degree student in Computer Science or a related field.
  • Focus on machine learning and data science.
  • AI Agents
  • MCP Servers
  • Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning.
  • Familiarity with SLMs: model design and fine-tuning
  • Interested in Kubernetes and cloud native technologies

ABOUT NIRMATA

Nirmata empowers organizations to innovate rapidly without compromising security or compliance. With Gartner forecasting that 99% of cloud security failures will result from misconfigurations by 2027, Nirmata's policy-as-code platform offers a proactive solution. Nirmata's highly customizable policies seamlessly integrate with your cloud-native environments, ensuring robust governance and security at scale. Trusted by top financial institutions and global enterprises—and with over 3.2 billion downloads of Kyverno, Nirmata's open source policy engine —Kyverno simplifies compliance, mitigates risk, and accelerates the enterprise journey to secure innovation.

Nirmata’s success is built on the diverse contributions of its employees. We're committed to an inclusive workplace where everyone's perspective is valued, and we do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All application information will be kept confidential in accordance with EEO guidelines.

Nirmata uses E-Verify for US-based roles, confirming work authorization after a job offer is accepted and the I-9 is completed. If E-Verify can't confirm authorization, we'll provide instructions on contacting DHS or SSA before any action is taken. See the Notice of Right to Work for details.

By submitting your application, you acknowledge that Nirmata will process your personal data in accordance with our Privacy Policy.

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