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Generative Ai Intern Jobs (NOW HIRING)

The Opportunity We are looking for a motivated Generative AI Developer Intern to join our AI Engineering Team. In this role, you will help design, build, test, and improve AI-powered applications and ...

Copart is looking for a talented and enthusiastic Mobile Developer Intern with knowledge of ... Develop and maintain mobile applications with a focus on AI, LLM, and generative AI integration ...

... generative AI. Our team comprises leading minds and innovators in AI and biological science ... Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on ...

... generative AI. Our team comprises leading minds and innovators in AI and biological science ... Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research). * Hands-on ...

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including ...

The intern will work closely with engineering and business stakeholders to design, develop, and ... Build and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented ...

Data Scientist Intern

Boston, MA · On-site

$20 - $30/hr

Job Summary In this role, you will gain experience using generative AI tools to develop internal ... The internship will conclude successfully with the intern having learning modern best practices of ...

The intern will work closely with engineering and business stakeholders to design, develop, and ... Build and optimize machine learning and Generative AI solutions, including RAG (Retrieval-Augmented ...

Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications. Full-Stack Engineering: Develop efficient, secure, and ...

Intern events - just because the internship is remote, doesn't mean we don't have time for fun ... Experience using Generative AI (GenAI) tools and research assistants (e.g., NotebookLM, ChatGPT, or ...

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Generative Ai Intern information

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How much do generative ai intern jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for generative ai intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does a Generative AI Intern do?

A Generative AI Intern typically assists in developing and testing machine learning models that can create new content, such as text, images, or audio, based on existing data. They may work with popular frameworks like TensorFlow or PyTorch, help preprocess large datasets, and collaborate with researchers and engineers to experiment with new generative algorithms. Responsibilities often include writing code, evaluating model outputs, and contributing to technical reports or presentations. This role is a great way for students or recent graduates to gain hands-on experience in one of the fastest-growing fields in artificial intelligence.

What are the key skills and qualifications needed to thrive as a Generative AI Intern, and why are they important?

To thrive as a Generative AI Intern, you need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects in artificial intelligence. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with version control systems like Git are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and contribute innovative ideas. These qualifications are vital for successfully supporting research and development tasks in the fast-evolving field of generative AI.

What is the difference between Generative Ai Intern vs Machine Learning Intern?

AspectGenerative Ai InternMachine Learning Intern
Required CredentialsBasic programming, AI fundamentals, coursework in AI/MLSimilar: programming, data analysis, coursework in ML/AI
Work EnvironmentTech companies, startups, research labs focusing on AI modelsTech firms, research institutions working on ML projects
Employer & Industry UsageAI-focused companies developing generative models like GPT, DALL·EBroadly used across industries for predictive modeling, data analysis

Generative Ai Interns focus on developing and refining AI models that generate content, such as text or images, often requiring knowledge of neural networks and deep learning. Machine Learning Interns have a broader scope, working on various algorithms for predictive analytics and data processing. While both roles share foundational skills, Generative Ai Interns specialize in generative models, making their work more specific within the AI field.

What types of projects and tasks can a Generative AI Intern expect to work on during their internship?

As a Generative AI Intern, you will typically collaborate with data scientists and engineers to develop, test, and refine machine learning models, especially those related to text, image, or audio generation. Common tasks include data preprocessing, building and evaluating neural network architectures, and conducting literature reviews to stay updated on the latest advancements in generative models. Interns often participate in team meetings, contribute to research papers or internal documentation, and may help deploy AI solutions for real-world applications. This hands-on experience is invaluable for building foundational skills and understanding the collaborative, fast-paced environment of AI research and development.
More about Generative Ai Intern jobs
What cities are hiring for Generative Ai Intern jobs? Cities with the most Generative Ai Intern job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Generative Ai Intern jobs? States with the most job openings for Generative Ai Intern jobs include:

AI/ML Intern Silicon Development Automation

Astera Labs Early Career

San Jose, CA • On-site, Remote

$17.50 - $23.50/hr

Other

Posted 20 days ago


Job description

Position Overview

We are seeking an AI/ML intern to support the development of AI-enabled workflows that accelerate silicon chip design processes. You will work with generative AI or deep learning techniques to assist in optimizing EDA (Electronic Design Automation) workflows, in  frontend design or verification tasks.

Key ResponsibilitiesAI/ML Development Support
  • Assist in developing AI-enabled automation solutions for silicon development workflows including circuit design, verification, debugging.
  • Support integration of domain-specific EDA tools with LLM capabilities
Technical Implementation
  • Write Python code for AI agents or assistants and evaluations for the front-end design and verifcation workflow.
  • Build tools, agent skills for processing design and verification code and data.
  • Contribute to evaluation frameworks for evaluation AI systems.
  • Participate in building benchmark datasets for silicon development AI applications.
  • Apply context engineering techniques to solve design and verification problems.
Required QualificationsEducation
  • Currently pursuing BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
  • Relevant coursework in machine learning and VLSI design
Technical Skills
  • Strong Python programming skills
  • Understanding of machine learning fundamentals
  • Coursework or project experience in one or more:
    • Deep learning or generative AI
    • VLSI design (frontend or backend)
    • EDA tools or design automation
  • Academic projects, coursework, or GitHub repositories showing:
    • ML/AI development experience, OR
    • Chip design/verification projects, OR
    • Combination of AI and hardware design work
What You'll Gain
  • Hands-on experience applying AI/ML to real-world chip design challenges
  • Exposure to generative AI and agentic workflows in chip design
  • Mentorship from experienced engineers in AI and silicon development