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Internship Recommender Systems Jobs in Oregon (NOW HIRING)

Danaher

Digital Analyst Internships

Eugene, OR

$98K - $117K/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 ...

Siemens

$18 - $50/hr

... systems and products. You will also create supporting documentation, tutorials, and technical ... Test workflow robustness, performance, and usability, and recommend improvements to increase ...

New

Siemens

$18 - $50/hr

... systems and products. You will also create supporting documentation, tutorials, and technical ... Test workflow robustness, performance, and usability, and recommend improvements to increase ...

New

Siemens

$18 - $50/hr

... systems and products. You will also create supporting documentation, tutorials, and technical ... Test workflow robustness, performance, and usability, and recommend improvements to increase ...

New

Siemens

$18 - $50/hr

... systems and products. You will also create supporting documentation, tutorials, and technical ... Test workflow robustness, performance, and usability, and recommend improvements to increase ...

New

Nvidia

Senior Compiler Engineer, AI Inference Platforms

OR · On-site +1

$122K - $161K/yr

... AI, recommendation systems, image classification, speech recognition, etc. With the rapid ... A track record of success in mentoring early-career engineers and interns is a bonus. Track record ...

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.

Nvidia

Senior Deep Learning Compiler Engineer

OR · On-site +1

$104K - $143K/yr

... recommendation systems, image classification, speech recognition, etc. Our DLC has been the ... A track record of success in mentoring junior engineers and interns is a bonus. With highly ...

Milestone Systems

Event Specialist

Lake Oswego, OR · On-site

$58K - $70K/yr

Support the use of marketing tools such as event platforms, lead capture systems, marketing ... field (internships count!) * Excellent organizational skills and attention to detail * Strong ...

FTI Consulting

2027 Intern - Technology

Portland, OR

$16 - $21.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... We strongly recommend you take time to educate yourself on the Technology segment, one of our five ...

FTI Consulting

2027 Intern - Technology

Salem, OR · On-site

$15 - $20.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... We strongly recommend you take time to educate yourself on the Technology segment, one of our five ...

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Internship Recommender Systems information

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 Oregon?

The most popular types of Recommender Systems jobs in Oregon are:

What are popular job titles related to Internship Recommender Systems jobs in Oregon?

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

What job categories do people searching Internship Recommender Systems jobs in Oregon look for?

The top searched job categories for Internship Recommender Systems jobs in Oregon are:

What cities in Oregon are hiring for Internship Recommender Systems jobs?

Cities in Oregon with the most Internship Recommender Systems job openings:

Internship Recommender Systems jobs near you
Infographic showing various Internship Recommender Systems job openings in Oregon as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Digital Analyst Internships

Danaher

Eugene, OR

$98K - $117K/yr

Internship

Re-posted 17 days ago

Danaher rating

7.7

Company rating: 7.7 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

191st of 545 rated manufacturers

Job description

How It Works

This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, specific openings have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available.

About Digital Analyst Roles at Danaher

Are you passionate about data, customer experience, and driving meaningful improvements through insights? As a Digital Analyst Intern, you’ll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power our web platforms.

What You Might Work On

  • Documenting system integrations and workflows within digital platforms

  • Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights

  • Supporting usability testing and interpreting user behavior data to recommend experience improvements

  • Preparing detailed reports and presentations to communicate findings to the Digital Customer Experience Team

  • Collaborating closely with cross-functional teams to help build a world-class digital organization

Who This Is For

  • Students currently pursuing a bachelor’s degree in Computer Science, Information Systems, or a related field

  • Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex data sets

  • Experience or coursework in documenting system integrations and workflows

  • Strong analytical mindset and attention to detail

Bonus:

  • Knowledge of usability testing methods and tools

  • Basic programming or scripting experience in Python, SQL, or JavaScript

  • Experience with Sitecore or other Content Management Systems

Company Description

At Beckman Coulter Diagnostics, part of the Danaher family, we’ve been advancing laboratory science for over 80 years, dedicated to improving patient lives worldwide through innovation. Our culture celebrates diverse backgrounds and perspectives, and we invest in your career growth through mentorship and meaningful hands-on experiences. Join us and help reimagine healthcare, one diagnosis at a time.

What Danaher employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984

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