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Internship Machine Learning Engineer Jobs in Remote, OR

Mirantis

Program Management Director

OR · On-site +1

... for modern AI, machine learning, and data-intensive applications. By combining open source ... You will partner closely with engineers, architects, and client stakeholders to translate business ...

Mirantis

Program Management Director

OR

... for modern AI, machine learning, and data-intensive applications. By combining open source ... You will partner closely with engineers, architects, and client stakeholders to translate business ...

Mirantis

Program Management Director

Myrtle Point, OR · On-site

... for modern AI, machine learning, and data-intensive applications. By combining open source ... You will partner closely with engineers, architects, and client stakeholders to translate business ...

Veeco Instruments, Inc.

Sr. Field Service Engineer

OR · On-site +1

We design, develop, manufacture, and service highly complex, cutting-edge machines used by our ... learning cycles, and performance validation. * Independently diagnose and resolve complex electro ...

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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.
Back End Developer - Mid-level - TS/SCI Clearance Required

Back End Developer - Mid-level - TS/SCI Clearance Required

Maximus

Remote

Full-time

Posted 11 days ago

Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services

Job description

General information
Job Posting Title
Back End Developer – Mid-level
Date
Friday, May 15, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.
 
This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.
 

This role is remote and requires an active Secret clearance. 
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS196, T4, Band 7
Job-Specific Essential Duties and Responsibilities:
  • Provides subject matter proficiency supporting back-end software development activities.
  • Applies analytical skills supporting process improvement, specialized studies, and requirements definition.
  • Performs analysis, planning, and development of requirements documents and functional models.
  • Designs and develops back-end architectures supporting system capabilities and integrations.
  • Develops and modifies RESTful APIs supporting application functionality.
  • Performs database management, data modeling, and optimization.
  • Supports testing and validation to verify system operability and compliance.
  • Participates in Agile program increment (PI) planning and activities requiring periodic travels.
Job-Specific Minimum Requirements:
  • Active Secret clearance or above required. Active TS/SCI highly preferred. 
  • Bachelor’s degree in related field required.
  • A Master’s degree may substitute for 2 years of experience.
  • 7 years of software development experience in object-oriented and scripted languages with the ability to apply several tool suites related to DevSecOps, microservices and containers.
  • 3 years of experience with bug tracking software (Jira).
  • 3 years of experience testing web-based applications.
  • 3 years of experience participating in software development programs or projects.
  • 3 years of experience performing back-end web design and development.
  • 3 years of experience with the following: AWS Infrastructure, Kubernetes, and RedHat Linux.
  • 5 years of experience with Jenkins and GitLab.
  • 5 years of experience with at least five (5) of the following:
    • Postgres
    • RDS
    • Exodus
    • Python
    • Luna
    • Java
    • Docker
    • OpenJDK
    • Ansible
    • Packer
    • Maven
    • Kubernetes
    • Red Hat
  • Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.
  • Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.
  • Practical experience developing in a cloud environment.
  • Experience with integrating data from unclassified to classified application deployments.
Preferred Skills and Qualifications:
  • Experience using Agile Test-Driven development.
  • Experience integrating into DoW DevSecOps environments.
  • 5 years of experience with CI/CD software development.
  • Demonstrated experience in utilizing UX design tool suites (e.g., Sketch, InVision).
  • Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

#techjobs #clearance #veteransPage #USCYBERCOM
Minimum Requirements
TCS196, T4, Band 7
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus ...

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