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Internship Recommender Systems Jobs in Portland, OR

Danaher

Digital Analyst Internships

Gresham, OR · On-site

$104K - $123K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

Danaher

Digital Analyst Internships

Vancouver, WA

$104K - $123K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

Danaher

Digital Analyst Internships

Portland, OR

$104K - $123K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

Danaher

Digital Analyst Internships

Vancouver, WA · On-site

$104K - $123K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

Danaher

Digital Analyst Internships

Gresham, OR

$104K - $123K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

Danaher

Digital Analyst Internships

Portland, OR · On-site

$104K - $123K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Documenting system integrations and workflows within digital platforms * Analyzing data from tools ...

Kaiser Permanente

RN, INPATIENT, OFN

Clackamas, OR · On-site

$53.28/hr

Performs accurate multi-system assessments, including; biophysical, psychosocial, environmental ... ACLS and PALS certified by the end of the ED Internship program. * Current manager recommendation.

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How much do internship recommender systems jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship recommender systems in Portland, OR is $23.87, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $26.01 per hour, depending on experience, location, and employer.

What is an internship recommender systems?

Internship recommender systems are digital tools or algorithms designed to help students and job seekers find internship opportunities that best match their skills, interests, and qualifications. By analyzing user profiles, preferences, and sometimes even past experiences, these systems suggest internships that are likely to be a good fit. They often use machine learning or artificial intelligence techniques to personalize recommendations and improve the matching process over time. Such systems are widely used by universities, career platforms, and large organizations to streamline the internship search and application process.

What types of projects can I expect to work on during an internship focused on recommender systems?

As an intern working on recommender systems, you’ll typically contribute to projects such as improving recommendation algorithms, analyzing user interaction data, and testing new personalization features. You might also collaborate with data scientists and engineers to prototype and evaluate models, conduct A/B tests to measure recommendation performance, and help refine data pipelines. The work often involves both independent research and teamwork, giving you exposure to a blend of technical implementation and real-world problem-solving in a collaborative environment.

What are the key skills and qualifications needed to thrive as an internship recommender systems engineer, and why are they important?

To excel as an Internship Recommender Systems Engineer, a strong background in computer science, statistics, and machine learning, often supported by relevant coursework or experience, is essential. Familiarity with programming languages like Python, data analysis libraries, machine learning frameworks (such as TensorFlow or PyTorch), and recommendation system algorithms is typically required. Analytical thinking, problem-solving skills, and the ability to collaborate effectively with teams help candidates stand out. These skills are crucial for designing, implementing, and optimizing recommendation systems that deliver accurate and personalized suggestions to users.

What is the difference between Internship Recommender Systems vs Data Analyst?

AspectInternship Recommender SystemsData Analyst
Required CredentialsTypically a background in computer science, data science, or related fields; familiarity with machine learning and recommender algorithmsDegree in statistics, mathematics, or related fields; proficiency in data analysis tools and programming languages
Work EnvironmentTech companies, startups, or online platforms focusing on personalized recommendationsBusiness, finance, healthcare, or marketing sectors analyzing data to inform decisions
Employer & Industry UsageUsed by companies developing recommendation engines for internships or job matching platformsEmployed across various industries to interpret data, generate reports, and support strategic decisions

Internship Recommender Systems focus on developing algorithms to match candidates with internships, requiring technical skills in machine learning. Data Analysts interpret and analyze data to support business decisions, often using statistical tools. While both roles involve working with data, their applications and skill sets differ significantly.

What are the most commonly searched types of Recommender Systems jobs in Portland, OR?

The most popular types of Recommender Systems jobs in Portland, OR are:

What are popular job titles related to Internship Recommender Systems jobs in Portland, OR?

For Internship Recommender Systems jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Internship Recommender Systems jobs in Portland, OR look for?

The top searched job categories for Internship Recommender Systems jobs in Portland, OR are:

Internship Recommender Systems jobs near you
Infographic showing various Internship Recommender Systems job openings in Portland, OR as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $49,641 per year, or $23.9 per hour.

NIKE, Inc. Software Engineering Undergraduate Internship

Nike

Beaverton, OR • On-site

Full-time

Posted 3 days ago

New

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

Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it's about each person bringing skills and passion to a challenging and constantly evolving game.
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 in NIKE's Global Technology organization 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
Software Engineering Interns will support various functions across the enterprise. The ideal candidate has the ability to see the big picture, understand how technology impacts the entire organization, and possess a passion for consumer-facing digital technology and innovation.
WHAT YOU WILL 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:
  • Design and build innovative web or mobile experiences that make it easier and more engaging for consumers to interact with NIKE's digital products.

  • Improve the performance, scalability, or reliability of backend services that support NIKE's consumer-facing platforms and applications.

  • Analyze product and consumer data, then collaborate in brainstorming sessions to recommend and prototype features that better meet consumer expectations.

This is an 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 Nike Internship Program Recap Video
WHAT YOU 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
  • Foundational programming experience in at least one language, such as Java, Python, JavaScript, C#, or Swift, gained through coursework, academic projects, or personal projects

  • Ability to write organized, readable code and use basic testing and debugging practices

  • Understanding of core software development concepts, including data structures, algorithms, object-oriented programming, or web development fundamentals

PREFERRED TECHNICAL SKILLS
  • Exposure to designing or building web or mobile applications through coursework, personal projects, hackathons, student organizations, research, or a previous internship

  • Familiarity with front-end or mobile development tools such React, Node.js, Xcode, or Android Studio.

  • Familiarity with cloud platforms or services such as AWS, Microsoft Azure, or Google Cloud

  • Exposure to version control, APIs, databases, collaborative coding, or code review practices

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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