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Machine Learning Internship Microsoft Jobs in Oregon

LTS

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

... AI, machine learning, and other emerging AI technologies where appropriate. * Design secure ... Experience working with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or ...

New

Logistics Management Institute

$75K - $90K/yr

... Machine Learning. This role requires someone with experience supporting government contracts ... Moderate skills and proficiency with Microsoft products: Power Apps, Power BI, Word, Excel, Outlook ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

... machine learning models in a business environment. * Advanced SQL Skills: Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server. * Python Proficiency: Strong ...

Pwc

US Tech - AI Engineering Manager

Portland, OR

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams delivering cloud ...

Trilon

$114K - $137K/yr

Experience designing scalable technical architectures for AI or machine learning solutions in ... Microsoft Teams * Bachelor's or master's degree in computer science, data science, engineering, or ...

Jobs for Humanity

Speakers/Writers

Bend, OR

$15 - $60/hr

... AI and machine learning concepts Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be ...

Jobs for Humanity

Speakers/Writers

Hillsboro, OR

$15 - $60/hr

Interest in AI and machine learning concepts. Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates ...

Waabi

Research Scientist, Neural Reconstruction

OR · On-site +1

$155K - $269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Stay current with ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

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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.
Sr. Analyst, Network Strategy, Pricing & Analytics

Sr. Analyst, Network Strategy, Pricing & Analytics

Umpqua Health

Roseburg, OR • On-site

$100K - $118K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

SR. ANALYST, NETWORK STRATEGY, PRICING & ANALYTICS
REMOTE, must be able to travel to 3031 NE STEPHENS ST. ROSEBURG, OR 97470
EMPLOYMENT TYPE: Full-Time, Exempt
About Umpqua Health
At Umpqua Health, we're more than a healthcare organization-we're a community-driven Coordinated Care Organization (CCO) dedicated to improving the health and well-being of individuals and families throughout Douglas County, Oregon. We provide integrated, whole-person care through primary care, specialty care, behavioral health services, and care coordination. Our collaborative approach ensures members receive high-quality, personalized care while supporting a stronger, healthier community.
POSITION PURPOSE
The Senior Analyst, Network Strategy, Pricing & Analytics provides advanced financial and data analysis to guide network investment decisions and ensure access to high-quality, cost-effective healthcare services. This role supports Umpqua Health's mission by developing pricing strategies, evaluating provider contracts, and leveraging value-based care models to improve health outcomes and reduce total cost of care. The position requires expertise in healthcare economics, contract valuation, predictive analytics, and strategic reporting to identify opportunities for cost savings and performance improvement.
ESSENTIAL JOB RESPONSIBILITIES
  • Conduct analysis of provider performance, utilization trends, and geographic coverage to identify network gaps, inefficiencies, and opportunities for optimization.
  • Develop and apply predictive models to assess contract risk, forecast financial impact, and evaluate provider behavior under varying reimbursement methodologies.
  • Interpret contract rates, terms, and coding structures to assess financial implications and support contract negotiation strategies, including chargemaster considerations.
  • Ensure the integrity and accuracy of integrated claims, provider, and contract data; identify and resolve data quality issues impacting reporting and analysis.
  • Support compliance with applicable regulatory requirements through data monitoring, audit support, and required reporting.
  • Design, develop, and maintain dashboards, reports, and data visualizations to effectively communicate insights to internal stakeholders.
  • Prepare and deliver recurring provider and hospital performance reports utilizing SQL, Excel, and other reporting tools.
  • Present analytical findings and strategic recommendations to leadership in a clear, concise, and professional manner.
  • Apply statistical and machine learning methodologies to address complex business challenges, including fraud detection and provider performance trends.
  • Collaborate with cross-functional teams to align data initiatives with organizational priorities and strategic objectives.
  • Identify and support process improvements related to data collection, reporting, and analytics functions.

CHALLENGES
  • Working with a variety of personalities, maintaining a consistent and fair communication style.
  • Satisfying the needs of a fast-paced and challenging company.

MINIMUM QUALIFICATIONS
  • Bachelor's degree in business, Finance, Mathematics, Economics, Data Science, Actuarial Science, or a related field.
  • Minimum of five (5) years of experience in analytics, including financial analysis, healthcare pricing, network management, or healthcare economics.
  • Advanced proficiency in Microsoft Excel and strong working knowledge of SQL.
  • Experience working with complex data environments, including database management and performance analytics.
  • Proficiency in at least one programming or analytics language (e.g., Python or R) and experience with data visualization tools (e.g., Tableau or Power BI).
  • Working knowledge of statistical modeling and analytical methodologies.
  • Strong written and verbal communication skills, including the ability to present technical information to non-technical audiences.
  • Demonstrated ability to work independently and collaboratively in a cross-functional environment.

PREFERRED QUALIFICATIONS
  • Master's degree in data science, Statistics, Computer Science, Health Informatics, or a related field.
  • Experience in healthcare, insurance, or network management analytics.
  • Advanced expertise in statistical modeling, machine learning, and experimental design.
  • Extensive familiarity with healthcare data sources, including claims, provider data, and contract information.
SCHEDULE
Monday through Friday - 8:00am - 5:00pm; standard business hours with flexibility to meet service timelines.
SALARY
Wage Band 21: $100,940- $118,605
BENEFITS
  • Salary is dependent on skills, experience, and education
  • Generous benefits package including vacation PTO, sick leave, federal holidays, and birthday leave
  • Medical, dental, and vision insurance
  • 401(k) with company match (fully vested immediately)
  • Company-sponsored life insurance and additional benefits
  • Fitness reimbursement program
  • Tuition reimbursement and more

Why Umpqua Health?
We are committed to advancing health equity by collaborating across communities, addressing systemic barriers, and ensuring fair access to care and resources. At Umpqua Health, every team member plays a vital role in making a meaningful impact, empowering healthier lives and strengthening the communities we serve.
Inclusive Culture
We foster a respectful, inclusive environment where employees feel valued, supported, and empowered.
Growth & Development
We support ongoing learning through mentorship, clear career pathways, and professional development opportunities.
Work/Life Balance
We promote flexibility and well-being so employees can thrive both professionally and personally.
Equal Opportunity
Umpqua Health is an equal opportunity employer that embraces individuals from all backgrounds. We prohibit discrimination and harassment of any kind, ensuring that all employment decisions are based on qualifications, merit, and the needs of the business. Our dedication to fairness and equality extends to all aspects of employment, including hiring, training, promotion, and compensation, without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under federal, state, or local law.

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