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Artificial Intelligence And Machine Learning Jobs in Oregon

Nvidia

Machine Learning Engineer

OR · On-site +1

NVIDIA is looking for a talented Machine Learning Engineer to drive the development, evaluation ... Deep Learning, Artificial Intelligence, and Large Language Models. If you're a creative engineer ...

New

Nvidia

Senior Machine Learning Engineer, AI Safety

OR · On-site +1

$114K - $156K/yr

In this role, you will take on innovative problems in machine learning, focusing specifically on ... Deep Learning, Artificial Intelligence, and Large Language Models. If you're a creative engineer ...

Netflix

Research Scientist 5/6 - AI for Member Systems

OR · On-site +1

$466K - $750K/yr

As such, our research spans many Artificial Intelligence and Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems ...

9th Way Insignia

AI Engineer

OR · On-site +1

The Artificial Intelligence Engineer will design, develop, implement, secure, evaluate, and maintain Artificial Intelligence (AI), Machine Learning (ML), and Large Language Model (LLM) solutions ...

LTS

Senior Applied AI Engineer

OR · On-site +1

$122K - $161K/yr

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Engineering, Data Science, or a related technical discipline (or equivalent professional ...

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How much do artificial intelligence and machine learning jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for artificial intelligence and machine learning in Oregon is $27.86, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $29.47 per hour, depending on experience, location, and employer.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

What are the key skills and qualifications needed to thrive as an artificial intelligence and machine learning engineer?

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch. They are found across industries including technology, healthcare, finance, and automotive sectors.

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Artificial Intelligence And Machine Learning jobs near you
Infographic showing various Artificial Intelligence And Machine Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $57,943 per year, or $27.9 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 8 days ago

Nike rating

7.7

Company rating: 7.7 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

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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