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Internship Machine Learning Engineer Jobs in Remote, OR

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

General information Job Posting Title Senior Back End Developer Date Thursday, April 23, 2026 City ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

General information Job Posting Title Senior Back End Developer Date Thursday, May 7, 2026 City ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

General information Job Posting Title Senior Back End Developer Date Thursday, May 14, 2026 City ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

General information Job Posting Title Senior Back End Developer Date Friday, May 8, 2026 City ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$113K - $146.70K/yr

General information Job Posting Title Senior Back End Developer Date Wednesday, May 13, 2026 City ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

General information Job Posting Title Back End Developer - Mid-level Date Thursday, May 21, 2026 ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

General information Job Posting Title Back End Developer - Mid-level Date Thursday, April 23, 2026 ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

General information Job Posting Title Back End Developer - Mid-level Date Friday, May 15, 2026 City ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

General information Job Posting Title Back End Developer - Mid-level Date Monday, May 11, 2026 City ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

General information Job Posting Title Back End Developer - Mid-level Date Thursday, April 23, 2026 ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Remote, OR

Internship Machine Learning Engineer information

See Remote, OR salary details

$25.5K

$42.5K

$87.9K

How much do internship machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for internship machine learning engineer in Remote, OR is $42,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

What types of projects and responsibilities can I expect as an Internship Machine Learning Engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What does an Internship Machine Learning Engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What is the difference between Internship Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What are the most commonly searched types of Machine Learning Engineer jobs in Remote, OR? The most popular types of Machine Learning Engineer jobs in Remote, OR are:
Internship Machine Learning Engineer jobs near you
Infographic showing various Internship Machine Learning Engineer job openings in Remote, OR as of May 2026, with employment types broken down into 81% Full Time, 10% Part Time, 7% Contract, and 2% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $42,542 per year, or $20.5 per hour.
Sr. Analyst, Network Strategy, Pricing & Analytics

Sr. Analyst, Network Strategy, Pricing & Analytics

Umpqua Health

Roseburg, OR • On-site

$100.94K - $118.61K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 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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