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Summer Artificial Intelligence Machine Learning Jobs in Portland, OR

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Software Engineer

Hillsboro, OR · On-site

$125 - $150/hr

Bachelor's degree in computer science, Computer Engineering/Artificial Intelligence, Machine Learning or in a related field. * 1+ years of experience designing, deploying, and maintaining scalable ...

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All JobsSummer Artificial Intelligence Machine Learning JobsSummer Artificial Intelligence Machine Learning Jobs in Portland, OR

Summer Artificial Intelligence Machine Learning information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do summer artificial intelligence machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for summer artificial intelligence machine learning in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What is a Summer Artificial Intelligence Machine Learning?

A Summer Artificial Intelligence (AI) Machine Learning (ML) job is a temporary internship or position, typically offered to students or recent graduates during the summer months, that focuses on working with AI and ML technologies. In these roles, participants gain hands-on experience by collaborating on projects involving data analysis, developing machine learning models, and implementing AI algorithms. These positions are designed to help individuals build practical skills, expand their technical knowledge, and explore potential career paths in the rapidly growing field of AI and ML.

What types of projects can I expect to work on during a Summer Artificial Intelligence Machine Learning internship?

As a Summer Artificial Intelligence Machine Learning intern, you can expect to contribute to projects involving data preprocessing, model training, and evaluation under the guidance of experienced mentors. Typical tasks may include developing and testing new algorithms, analyzing large datasets, and supporting the deployment of machine learning models. You'll often collaborate closely with data scientists, software engineers, and other interns, gaining exposure to real-world AI challenges and industry-standard tools. This hands-on experience not only builds technical skills but also improves teamwork and communication abilities, laying a strong foundation for a future career in AI and ML.

What are the key skills and qualifications needed to thrive as a Summer Artificial Intelligence Machine Learning intern, and why are they important?

To thrive as a Summer Artificial Intelligence Machine Learning intern, you need a solid background in mathematics, statistics, and programming (often Python), typically supported by coursework or projects in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is commonly expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively within diverse teams are valuable soft skills for this role. These competencies are crucial for successfully developing, implementing, and refining AI models in a fast-paced, innovation-driven environment.

What is the difference between Summer Artificial Intelligence Machine Learning vs Summer Data Science?

AspectSummer Artificial Intelligence Machine LearningSummer Data Science
Required CredentialsBachelor's or Master's in CS, AI, ML, or related fieldsBachelor's or Master's in CS, Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, startupsData analysis teams, consulting firms, tech companies
Industry UsageDeveloping AI models, ML algorithms, automationData analysis, visualization, business insights
Common Search/ComparisonYesYes

Summer Artificial Intelligence Machine Learning focuses on developing AI systems and algorithms, often involving programming and model training. Summer Data Science emphasizes analyzing and interpreting data to generate insights. While both roles require strong technical skills and similar educational backgrounds, AI/ML roles are more research and development-oriented, whereas Data Science roles focus on data analysis and visualization.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Portland, OR?

The most popular types of Artificial Intelligence Machine Learning jobs in Portland, OR are:

Summer Artificial Intelligence Machine Learning jobs near you
Infographic showing various Summer Artificial Intelligence Machine Learning job openings in Portland, OR as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 19% Part Time, 1% Temporary, 6% Contract, and 3% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $45,160 per year, or $21.7 per hour.

NIKE, Inc. Artificial Intelligence, Data, & Machine Learning Engineering Undergraduate Internship

Beaverton, OR • On-site

Nike
Retail • 10K+ employees
Learn more about Nikeexternal

Full-time

Posted 6 days ago

Nike rating

7.7

Company rating: 7.7 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

7th of 105 rated fashion retailers

Job description

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data, and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate, and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary, and collaborative, taking technology into the future and bringing the world with it.
WHO WE ARE LOOKING FOR:
The Artificial Intelligence, Data and Machine Learning Group applies machine learning to problems at Nike. We develop fundamental technologies, do applied research and development, and deliver to production to enable AI/ML across Nike.
The ideal intern candidate is a leader with a demonstrated interest in developing complex data solutions and working on end-to-end solution design. You are a passionate, data enthusiast who loves finding relationships between disparate data sets and clarity in a muddied data environment and are continually learning as well as finding opportunities to share knowledge with others.
The person we're searching for gets energized and excited by the challenge of building things from the ground up, loves to think out of the box, and brings to bear the latest technologies in statistical, unsupervised, supervised, and Artificial Intelligence (AI) models to achieve organizational goals.
WHAT YOU'LL EXPERIENCE:
In the NIKE, Inc. Summer Internship Program, you'll contribute to high-priority, real business initiatives that align with the NIKE, Inc. strategic roadmap.
With the guidance of senior leaders and experienced managers, you'll take ownership of a project that's been scoped to drive impact. These projects are designed to challenge your critical thinking, further develop your skills and foster effective collaboration while contributing directly to your team's goals.
Intern Project Examples Include:
  • Keep Nike on the offensive by integrating Machine Learning within our technologies to identify and resolve incidents faster and more efficiently.
  • Scale Nike's innovation teams and our sustainability goal of moving to zero waste through the use of computer vision, code, agile methodologies, and robotics.
  • Ensuring people with disabilities have equitable access to Nike's Technology using Artificial Intelligence.

This is a 10-week paid internship opportunity with relocation assistance. Curious to know what it's like to be part of a world-class Internship Program? Check out our recap video from last summer: Nike Internship Program Recap Video
WHAT YOU WILL BRING:
Qualifications:
  • Enrolled in a Bachelor's Degree with an expected graduation date between December 2027 and Spring 2028
  • Background in computer science, mathematics, statistics, or a related technical field
  • 0-2 years work experience
  • Resume submission (PDF strongly preferred)

Technical Skills:
  • Knowledge of Python, SQL, Tableau
  • Knowledge of AI/ML techniques such as neural networks, tree ensembles, regressions, etc.
  • Knowledge in data structures and algorithms, proficiency in solution and technical design, and strong skills in problem solving, debugging, testing, and analysis
  • Ability to quickly pick up new programming languages, technologies, and frameworks

Preferred Technical Skills:
  • A demonstrated interest in leveraging Generative AI to enhance typical development and data science workflows, or in implementing Generative AI solutions within enterprise environments
  • An awareness of data science platforms (like Databricks or SageMaker), distributed engines (like Spark and AWS cloud), and CI/CD pipelines and containerization
  • An ability to meaningfully communicate, written, orally, and visually technical topics with peers and articulate the benefits and tradeoffs of various solutions

MYNEXT: Be Empowered to Grow within Nike and Create the Future
This internship - as well as full-time positions - are located in-person at the NIKE, Inc. Philip H. Knight Campus in Beaverton, OR. Check out this video of our World Headquarters to learn more about life on campus: Nike PHK Campus Video
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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