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Machine Learning Internship Microsoft Jobs in Oregon

HiddenLayer

AI Red Teamer

OR · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Microsoft's Venture Fund, and Moore Strategic Ventures. Attracting and retaining the very best ...

Columbia

Principal Data Scientist

Portland, OR · On-site

Design and build scalable models that leverage best-in-class statistical and machine learning ... Experience with Microsoft Stack preferred #LI-JD1 This is not meant to be an all-inclusive list of ...

Epiq

Advanced Technologies Consultant

Beaverton, OR · On-site

$110K - $135K/yr

Experience with Technology-Assisted Review (TAR) using machine learning and/or GenAI tools in an e ... Proficiency with Microsoft 365 (O365). * Ability to synthesize complex solutions into clear, client ...

Cotiviti

$32 - $40/hr

We are currently looking for interns who can start immediately, 12 week internship, and work 40 ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

New

SOSi

Data Scientist

OR · On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional ...

SOSi

Data Scientist

OR

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional ...

SOSi

Data Scientist

Myrtle Point, OR

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional ...

Cotiviti

$32 - $40/hr

We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

Cotiviti

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

NewRocket

OR · On-site

$63.75 - $82/hr

Develop, train, and deploy machine learning models for predictive analytics, classification, and ... Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure ...

Cotiviti

Products within this space leverage rules-based detection, machine learning models, and integrated ... Proficiency in Microsoft Excel, Microsoft Access, Database interaction capabilities. * Medicare ...

Deloitte

Oracle Gen AI Manager

Portland, OR

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Microsoft Azure, or Google Cloud Platform * Experience with LangChain, LangGraph, NVIDIA NIM, or ...

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

... vision, machine learning, and deep learning. Assists in implementing and tuning models for ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

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All JobsMachine Learning Microsoft JobsMachine Learning Internship Microsoft JobsMachine Learning Internship Microsoft Jobs in Oregon

Machine Learning Internship Microsoft information

What is a Machine Learning Internship at Microsoft?

A Machine Learning Internship at Microsoft is a temporary position for students or recent graduates to gain hands-on experience working on real-world machine learning projects. Interns collaborate with experienced engineers and researchers to develop, test, and deploy machine learning models and solutions that impact Microsoft products and services. The internship typically involves working with large datasets, implementing algorithms, and contributing to team goals while learning about cutting-edge AI technologies. Interns also benefit from mentorship, networking opportunities, and exposure to the latest industry practices.

What types of projects do interns typically work on during a Machine Learning Internship at Microsoft?

As a Machine Learning intern at Microsoft, you can expect to work on impactful, real-world projects that contribute to ongoing products or research initiatives. Interns often collaborate with data scientists, software engineers, and product teams to develop, test, and refine machine learning models for applications such as natural language processing, computer vision, or recommendation systems. You'll likely participate in code reviews, present your findings, and receive mentorship from experienced professionals, all within a collaborative and innovative environment. These projects not only enhance technical skills but also provide valuable exposure to large-scale, industry-leading systems.

What is the difference between Machine Learning Internship Microsoft vs Data Science Internship Microsoft?

AspectMachine Learning Internship MicrosoftData Science Internship Microsoft
Required SkillsProgramming, ML algorithms, Python, TensorFlowStatistics, data analysis, Python, SQL
Work EnvironmentResearch and development teams focused on ML modelsData analysis and visualization teams
Industry UsageAI and ML product developmentBusiness insights and data-driven decision making

Both internships are highly competitive roles at Microsoft, often requiring programming skills and relevant coursework. Machine Learning Internships focus on developing and deploying ML models, while Data Science Internships emphasize analyzing data to generate insights. Candidates should review the specific role descriptions to align their skills accordingly.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern at Microsoft, and why are they important?

To thrive as a Machine Learning Intern at Microsoft, you need a solid foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by coursework or related projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like Azure are often expected. Strong problem-solving skills, curiosity, and effective communication help you collaborate with team members and present findings. These skills are crucial for contributing to innovative projects and translating complex data-driven insights into impactful solutions within a dynamic tech environment.
What are popular job titles related to Machine Learning Internship Microsoft jobs in Oregon? For Machine Learning Internship Microsoft jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Internship Microsoft jobs in Oregon look for? The top searched job categories for Machine Learning Internship Microsoft jobs in Oregon are:
What cities in Oregon are hiring for Machine Learning Internship Microsoft jobs? Cities in Oregon with the most Machine Learning Internship Microsoft job openings:
Machine Learning Internship Microsoft jobs near you
Infographic showing various Machine Learning Internship Microsoft job openings in Oregon as of July 2026, with employment types broken down into 7% Internship, 1% As Needed, 72% Full Time, 18% Part Time, 1% Temporary, and 1% Nights. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Internship - AI Special Ops

Internship - AI Special Ops

PLEXIS Healthcare Systems

Medford, OR • On-site

$20/hr

Full-time, Part-time, Internship

Posted 21 days ago

Job description

PLEXIS Healthcare Systems, Inc., a progressive software development company in Medford, OR, is expanding its innovation footprint through our AI Special Ops team - a small, high-impact group focused on experimenting with emerging technologies and building next-generation AI-enabled products.
This is a unique opportunity to work in a startup-like environment within an established healthcare technology company. You'll help design and deliver intelligent, user-centered software that supports our mission to transform how organizations manage health, benefits, and wellness through data and automation.
Position Summary
As an AI Special Ops Intern, you will work alongside our team on real, in-flight projects rather than throwaway exercises. The department works across several products and initiatives at once, from AI-assisted clinical and claims tooling to internal automation, agentic assistants, and program-management dashboards, and you will get exposure to a range of them.
This is a hands-on role for someone genuinely curious about AI and large language models who also has the discipline to test carefully, document clearly, and ask good questions. You will prototype and evaluate AI features, help turn rough ideas into working tools, keep our research and documentation organized, and learn what it actually takes to apply AI responsibly in a regulated healthcare environment.
Essential Functions and Responsibilities
  • Prototype, test, and help evaluate AI / large language model features and agent workflows across the department's products and internal tools
  • Assist with prompt design and the systematic evaluation of model output for quality, accuracy, and reliability
  • Research AI tools, models, and techniques, and write up clear, actionable findings the team can act on
  • Write small scripts and automations (commonly in Python) to streamline repetitive work
  • Help maintain organized research, planning, and reference documentation so knowledge is shared across the team rather than siloed
  • Support program management, including dashboards (React / Vite / Tailwind) and the department data program, with content, data-accuracy passes, and light frontend work
  • Perform quality assurance and verification on AI-generated output, flagging anything that needs a human in the loop before it ships
  • Use AI coding and productivity tools (such as Claude Code) responsibly for day-to-day problem-solving

Required Qualifications
  • Currently pursuing or recently completed a degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field
  • Some programming experience; comfort reading and writing Python is a plus
  • Working familiarity with Git/GitHub, the command line, and Markdown
  • Strong written communication and an eye for clear, organized documentation
  • Detail-oriented and self-directed, comfortable working with ambiguity and willing to ask questions
  • Genuine interest in AI, large language models, and how they get applied to real work

Preferred Qualifications
  • Hands-on experience with an AI assistant (Claude, ChatGPT, GitHub Copilot, or similar) or with prompt design and evaluation
  • Exposure to React / TypeScript, JSON, YAML, or REST APIs
  • Coursework or projects involving machine learning, NLP, or data analysis
  • Genuine interest in health and wellness applications and a motivation to build technology that improves how care is delivered
  • Awareness of healthcare data handling and privacy expectations (HIPAA); comfort following rules that keep sensitive data out of the wrong places

Compensation & Benefits
  • Paid Internship Hourly Rate: $20.00/hr.
  • Flexible scheduling around academic commitments
  • Mentorship from the AI Special Ops team and direct, practical experience with production AI tooling in a healthcare technology setting

Work Arrangement
Remote and/or Hybrid. Part-time or full-time depending on term and availability.
Equal Opportunity Statement
It is the policy of Plexis Healthcare Systems, Inc. to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.

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