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Generative Ai Engineer Internship Jobs in Oregon

Senior Applied AI Engineer

Hillsboro, OR

$113K - $156K/yr

If you're passionate about the latest research and cutting-edge technologies shaping generative AI ... Strong Python engineering skills are preferred, with the ability to design, prototype, and ...

... enabling Generative AI capabilities, and guiding the adoption of Large Language Models (LLMs ... This individual will work across engineering, data, product, cybersecurity, and leadership teams to ...

Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

Partner with architecture, engineering, data, security, product, and business stakeholders to ... Deep knowledge of AI/ML concepts and patterns, including machine learning, generative AI, large ...

Partner with architecture, engineering, data, security, product, and business stakeholders to ... Deep knowledge of AI/ML concepts and patterns, including machine learning, generative AI, large ...

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Rather than replacing engineers, we're building AI that accelerates engineering through ... Hands-on experience developing applications powered by Large Language Models (LLMs) and Generative ...

Overview The Sr Gen AI Data Scientist I - Generative AI will apply knowledge and experience to real ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

Overview The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

Operationalize generative AI systems by developing robust, scalable pipelines for deployment across multiple environments. * Design and implement advanced data manipulation and pipelining workflows ...

$215K - $260K/yr

... engineer them into a shared, production grade foundation that serves engagements across the ... Generative AI, including large language models (LLMs), inference, retrieval-augmented generation ...

Senior Applied ML Engineer

OR · On-site +1

$104K - $143K/yr

The Team Upstart's Applied LLM team is building foundational infrastructure that democratizes access to generative AI for every product and engineering team across the company. This is a cross ...

Showing results 41-60

Generative Ai Engineer Internship information

What are the key skills and qualifications needed to thrive in the generative AI engineer internship position, and why are they important?

To thrive as a Generative AI Engineer Intern, you need a solid understanding of machine learning fundamentals, deep learning frameworks, and experience with programming languages such as Python. Familiarity with tools like TensorFlow, PyTorch, and version control systems is often expected, and relevant coursework or certifications in AI or data science are advantageous. Strong problem-solving abilities, communication skills, and eagerness to learn help distinguish top candidates in collaborative, fast-paced environments. These skills are vital for effectively developing, testing, and iterating on generative models that address real-world challenges.

What kinds of projects or tasks do generative AI engineer interns typically work on during their internship?

Generative AI Engineer Interns usually contribute to projects involving model architecture development, data preprocessing, and evaluation of generative algorithms for tasks like text, image, or audio synthesis. Interns often collaborate closely with senior engineers and data scientists, participate in code reviews, and assist in optimizing model performance or preparing proofs of concept for new generative applications. You may also be involved in researching state-of-the-art methods and presenting your findings to the team. These experiences offer valuable hands-on exposure and are designed to prepare you for a future full-time role in AI engineering.

What is a generative AI engineer internship?

A Generative AI Engineer Internship is a temporary position where interns work on developing and optimizing AI models that generate content, such as text, images, or code. Interns typically assist in training, fine-tuning, and testing deep learning models, often using frameworks like TensorFlow or PyTorch. They may also work with large datasets, implement prompt engineering, and collaborate with researchers or engineers. This role provides hands-on experience in machine learning, model deployment, and AI ethics, helping interns build expertise in the field.

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Senior Applied AI Engineer

Nvidia

Hillsboro, OR

$113K - $156K/yr

Full-time

Posted 23 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA has been transforming accelerated computing with innovation that's fueled by great technology-and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions.

You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.

What you'll be doing:

  • Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.

  • Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.

  • Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence.

  • Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.

What we need to see:

  • MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related technical field, with 5+ years of hands-on software engineering experience building production-grade software systems, and demonstrated experience shipping AI/LLM-powered applications, agents, or automation workflows into real production environments.

  • Strong Python engineering skills are preferred, with the ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools.

  • Practical experience building LLM-powered agents or agentic workflows, with hands-on use of Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or equivalent coding agents to improve real software developmentworkflows.

  • Solid software engineering fundamentals and production mindset, including system design, API design, testing, CI/CD, code quality, observability, security, databases, containers, and distributed or event-driven systems.

  • Ability to identify repetitive, high-friction, or knowledge-intensive workflows and turn them into practical AI-enabled tools, automations, or assistants that improve productivity and operational efficiency.

  • Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support.

  • Excellent communication skills and a collaborative, proactive approach.

Ways to stand out from the crowd:

  • Strong ability to connect AI applications and agents with existing systems, services, databases, documentation, codebases, and enterprise workflows in a secure, reliable, and maintainable way. Experience with emerging integration patterns such as MCP, Skills, or similar frameworks is a plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 21, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993