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Ai 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 ...

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 ...

a16z speedrun

Forward Deployed Engineer Intern

San Francisco, CA · On-site

$19.75 - $25.50/hr

Forward Deployed Engineer Intern San Francisco • Summer • In-person What we do We're building ... The result is an operational platform that powers AI automation across insurance, banking, and ...

New

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 ...

KASTLE

Software Engineer - Intern

San Francisco, CA

About Kastle Kastle is building the AI employee for consumer lending. We work with some of America ... About the Role We're looking for a Software Engineer Intern who is excited to build products that ...

Clera

Founding Engineer Intern

San Francisco, CA · On-site

About the Role A fast-growing, pre-seed AI startup in the talent and recruiting space is looking for a Founding Engineer Intern to join their founding team in San Francisco. You'll work directly with ...

Exa

Software Engineer, Intern

San Francisco, CA · On-site

$100K - $200K/yr

Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive ... As an engineering intern, you'd play a critical role in lots of our projects. We're pretty flexible ...

Clera

Founding Engineer Intern

San Francisco, CA · On-site

About the Role A fast-growing, pre-seed AI startup in the talent and recruiting space is looking for a Founding Engineer Intern to join their founding team in San Francisco. You'll work directly with ...

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 ...

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation. Current focus areas include CVE ...

RocketRide Inc.

AI Developer Intern

San Francisco, CA · On-site

$22.75 - $29.75/hr

About This Role We're searching for an AI Developer Intern for the fall term (mid-Sep through mid-Dec), who is technical, curious, and ready to get their hands dirty building real AI features. You'll ...

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

As an AI Native Intern, you will be placed on one of our engineering or product teams tackling high-impact, process-heavy work that is ripe for AI automation. Current focus areas include CVE ...

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All JobsAi Engineer Intern JobsAi Engineer Intern Jobs in California

Ai Engineer Intern information

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How much do ai engineer intern jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai engineer intern in California is $25.08, according to ZipRecruiter salary data. Most workers in this role earn between $20.38 and $28.46 per hour, depending on experience, location, and employer.

What does an AI Engineer Intern do?

An AI Engineer Intern assists in designing, developing, and testing artificial intelligence models and algorithms under the supervision of experienced engineers. Their tasks may include data preprocessing, building machine learning models, evaluating model performance, and collaborating with cross-functional teams. Interns often work on real-world projects, gaining hands-on experience with AI tools and technologies such as Python, TensorFlow, or PyTorch. The internship provides valuable insight into the AI development lifecycle and helps interns build foundational skills for a career in artificial intelligence.

What are the key skills and qualifications needed to thrive as an AI Engineer Intern?

To thrive as an AI Engineer Intern, you need a solid grounding in computer science fundamentals, programming (especially Python), and a basic understanding of machine learning algorithms, often supported by coursework or personal projects. Familiarity with tools and frameworks like TensorFlow, PyTorch, and Git, as well as experience with data analysis libraries such as NumPy and pandas, is typically expected. Strong problem-solving abilities, curiosity, and effective communication skills help interns stand out when collaborating and learning in fast-paced environments. These skills and qualities are crucial for quickly adapting to technical challenges and contributing meaningfully to AI development projects.

What are some common challenges an AI Engineer Intern might face during their internship?

As an AI Engineer Intern, you may encounter challenges such as adapting to complex codebases, understanding large datasets, and balancing theoretical concepts with practical implementation. It’s common to work on projects where requirements or data may change rapidly, requiring flexibility and problem-solving skills. Additionally, collaborating with cross-functional teams like data scientists or software engineers can be an adjustment, as effective communication is key to integrating AI solutions into broader products.

How much do AI engineer interns make?

AI engineer interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often provide valuable skills in machine learning, programming, and data analysis, and may include stipends or hourly wages aligned with industry standards.

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

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

What are popular job titles related to Ai Engineer Intern jobs in California?

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

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

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

What cities in California are hiring for Ai Engineer Intern jobs?

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

Ai Engineer Intern jobs near you
Infographic showing various Ai Engineer Intern job openings in California as of August 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $52,174 per year, or $25.1 per hour.

AI Software Engineer Intern

Nirmata

San Jose, CA

Internship

Re-posted 28 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

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