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Ai Software Engineer Intern Jobs in California (NOW HIRING)

Nirmata

AI Software Engineer Intern

San Jose, CA

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 ...

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site +1

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 ...

Tenex.AI Inc

Software Engineer Intern

San Jose, CA · On-site

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR ... We are seeking a highly motivated and versatile Full Stack Engineer Intern to join our core ...

SK hynix

Software Engineer Intern

San Jose, CA

$35 - $45/hr

As a software engineer intern at SKHMSA, you will be involved in the storage test software ... AI-assisted software development and documentation. Desired Skills and Experience: * Currently ...

Serval Inc

Software Engineer Intern

San Francisco, CA · On-site

Who We Are Serval is an AI-native automation platform transforming how enterprises operate. We ... Role Overview As a Software Engineer Intern, Backend at Serval, you'll work directly on core parts ...

Brilent

Software Engineer Intern

San Mateo, CA · On-site

As a software engineering intern, you will work alongside our small team of engineers to create new features and provide a world-class user experience for our customers. Responsibilities

Intel Corporation

AI Software Engineering Intern

Folsom, CA · On-site

$101 - $137/hr

... AI software stacks, GPU programming, and performance optimization. Contributes to the design ... As an intern, learns and applies knowledge, builds skills, and explores future career opportunities ...

Intel

AI Software Engineering Intern

Folsom, CA · On-site

... AI software stacks, GPU programming, and performance optimization. Contributes to the design ... As an intern, learns and applies knowledge, builds skills, and explores future career opportunities ...

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Ai Software Engineer Intern information

What does an AI software engineer intern do?

An AI Software Engineer Intern assists in designing, developing, and testing artificial intelligence models and applications under the guidance of experienced engineers. Their responsibilities may include data preprocessing, implementing machine learning algorithms, coding in languages like Python, and collaborating with team members on AI projects. Interns also help optimize existing AI systems, conduct research, and document their work. The role provides practical experience and exposure to real-world problems in AI and software engineering.

What types of projects can an AI software engineer intern expect to work on during their internship?

As an AI Software Engineer Intern, you will likely contribute to real-world projects such as developing machine learning models, preprocessing data, or supporting the integration of AI solutions into existing products. Interns often collaborate with senior engineers and data scientists, participating in code reviews and brainstorming sessions. You may also be involved in evaluating model performance, optimizing algorithms, or automating tasks using AI tools, giving you hands-on experience with both the technical and collaborative aspects of the role.

What are the key skills and qualifications needed to thrive as an AI software engineer intern, and why are they important?

To thrive as an AI Software Engineer Intern, you typically need a solid background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by progress toward a relevant degree. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and experience with data analysis tools are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication set outstanding interns apart in collaborative and fast-paced environments. These skills and qualities are crucial for contributing meaningfully to AI projects and adapting to new technologies and challenges.

What are the most commonly searched types of Ai Software Engineer jobs in California?

The most popular types of Ai Software Engineer jobs in California are:

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For Ai Software Engineer Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Software Engineer Intern jobs in California look for?

The top searched job categories for Ai Software Engineer Intern jobs in California are:

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Cities in California with the most Ai Software Engineer Intern job openings:

Ai Software Engineer Intern jobs near you
Infographic showing various Ai Software Engineer Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Software Engineer Intern

Nirmata

San Jose, CA

Internship

Re-posted 3 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

Apply