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Generative Ai Engineer Intern Jobs (NOW HIRING)

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Helix AI Engineer, Generative AI

San Jose, CA · On-site

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

We are looking for a Helix AI Engineer, Generative AI to build and scale generative models that enable robots to understand, simulate, and interact with the physical world. This role focuses on ...

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

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 ...

Peraton

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

Responsibilities Peraton is seeking motivated Generative AI Engineering Interns (Graduate ... SCA / Union / Intern Rate or Range $35.00/hour EEO EEO: Equal opportunity employer, including ...

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Generative Ai Engineer Intern information

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How much do generative ai engineer intern jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for generative ai engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does a Generative AI Engineer Intern do?

A Generative AI Engineer Intern assists in developing and testing machine learning models, specifically those that can create new content such as text, images, or audio. They work with frameworks like TensorFlow or PyTorch, collaborate with senior engineers, and help improve the performance and reliability of generative AI systems. Interns may also be involved in data preprocessing, model evaluation, and keeping up with the latest research in artificial intelligence.

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

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, programming skills (especially in Python), and coursework or experience in artificial intelligence or computer science. Familiarity with deep learning frameworks like TensorFlow or PyTorch and version control systems such as Git is typically required, and relevant coursework or certifications in AI/ML are advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex ideas clearly help interns stand out. These skills and qualities are crucial for quickly learning advanced AI techniques, contributing to team projects, and driving innovation in a rapidly evolving field.

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

As a Generative AI Engineer Intern, you can expect to work on projects involving the development, training, and evaluation of generative models such as GANs, VAEs, or transformer-based architectures. Typical tasks may include data preprocessing, model implementation, fine-tuning, and running experiments to improve model performance. Interns often collaborate closely with data scientists, software engineers, and research teams, gaining exposure to both research and application of AI in real-world products. This role provides hands-on experience with state-of-the-art tools and frameworks, offering a valuable foundation for a future career in AI engineering or research.

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

AspectGenerative Ai Engineer InternMachine Learning Engineer Intern
Required CredentialsBasic knowledge of AI, programming, and some coursework in machine learning or AIStrong foundation in machine learning, programming, and data analysis, often with coursework or certifications
Work EnvironmentTech companies, startups, research labs focusing on AI applicationsTech firms, research institutions, and companies applying machine learning models
Industry UsageDeveloping generative models like GPT, DALL·E, and similar AI toolsBuilding predictive models, data pipelines, and machine learning algorithms

While both roles involve AI and machine learning, a Generative Ai Engineer Intern focuses specifically on creating generative models like text, images, or audio, whereas a Machine Learning Engineer Intern works broadly on developing and deploying various machine learning algorithms across different applications.

More about Generative Ai Engineer Intern jobs
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Generative Ai Engineer Intern jobs near you
Infographic showing various Generative Ai Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Generative AI Engineer

Generative AI Engineer

Tata Consultancy Services

Irving, TX • On-site

Full-time

Posted 7 days ago

New

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

159th of 208 rated it services

Job description

Job Summary:
Tata Consultancy Services is a leading technology services and consulting company, and they are seeking a Generative AI Engineer. The role involves designing and implementing advanced AI solutions, collaborating with various stakeholders, and ensuring data quality for training AI models.
Responsibilities:
• Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
• Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
• Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
• Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs
• Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 2 - 4 Years experience
• Programming languages: Python (proficient) with major ML libraries
• Experience with opensource Gen AI LLMs e.g., Llama and Dolly
• Strong understanding of supervised and unsupervised learning, neural networks, transformers
• Experience with GANs, text-to-image generation, text generation models
• SQL, data cleaning, feature engineering
• AWS, Azure, or GCP experience
Preferred:
• On prem and cloud development projects with CI/CD Experience
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

What Tata Consultancy Services employees say

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Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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