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Machine Learning Summer Intern Jobs in Remote, OR

Machine Learning Summer Intern information

See Remote, OR salary details

$25.5K

$42.5K

$87.9K

How much do machine learning summer intern jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning summer intern 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 types of projects do Machine Learning Summer Interns typically work on, and how do these contribute to the team's goals?

Machine Learning Summer Interns often work on focused projects such as data preprocessing, developing and testing machine learning models, or contributing to research and prototyping efforts. These projects are designed to provide practical experience while directly supporting the team's ongoing initiatives, such as improving model accuracy or automating data pipelines. Interns usually collaborate closely with data scientists and engineers, gaining mentorship and exposure to real-world problem-solving. This hands-on involvement helps interns understand the end-to-end process of deploying machine learning solutions and prepares them for future roles in the field.

What is the difference between Machine Learning Summer Intern vs Data Science Summer Intern?

AspectMachine Learning Summer InternData Science Summer Intern
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some experience in ML frameworksUndergraduate or graduate in statistics, CS, or related fields; experience in data analysis
Work EnvironmentDeveloping ML models, algorithms, and prototypes in tech or research companiesAnalyzing datasets, creating reports, and supporting data-driven decisions in various industries
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, marketing, and tech firms

While both roles involve working with data, Machine Learning Summer Interns focus on developing algorithms and models, whereas Data Science Summer Interns analyze data to generate insights. The roles often overlap but differ mainly in technical focus and project scope.

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

To thrive as a Machine Learning Summer Intern, you need a solid understanding of programming (especially Python), foundational knowledge of machine learning concepts, and coursework or experience in statistics and mathematics. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you collaborate and adapt in a fast-paced research or development setting. These abilities are crucial for contributing to real-world projects, learning from experienced mentors, and building a foundation for a future career in machine learning.

What are Machine Learning Summer Interns?

Machine Learning Summer Interns are students or recent graduates who work temporarily at a company, usually during the summer, to gain practical experience in machine learning. They typically assist with data analysis, model development, and research tasks under the supervision of experienced data scientists or engineers. This role allows interns to apply their academic knowledge to real-world problems, learn industry tools and workflows, and build professional networks. Internships often serve as a stepping stone to full-time positions in machine learning or related fields.
What cities near Remote, OR are hiring for Machine Learning Summer Intern jobs? Cities near Remote, OR with the most Machine Learning Summer Intern job openings:

Summer High School App Development Startup Intern(Remote)

Hideouts

OR โ€ข On-site, Remote

$14 - $18.75/hr

Full-time, Temporary, Internship

Re-posted 17 days ago


Job description

Are you a total nerd when it comes to computer science? Are you looking for hands-on experience with app development and the world of tech startups? If so, this might just be the perfect fit for you!
We are actively looking for high school coders to work with both our technical teen co-founders and our network of professional iOS developers in order to build Hideouts. Our professional mentors are seasoned developers with years of experience at top companies in the industry like Google and YC, and they provide guidance to our all-teen team.
The beta version of Hideouts is currently available on the App Store, but we are continuing to work on updates, improvements, and new features. We are also simultaneously working on a web-based version of Hideouts as well.
Top interns from this program will be offered full-year Junior Developer positions. They may also be asked to join our team as a co-founder and receive a small portion of synthetic equity.
Please note: this internship is completely virtual and remote. Although this is an unpaid opportunity, we offer service hours as a benefit to our teen interns. Interns are responsible for procuring their own devices needed to work. This internship term is for the summer only, from June 8th-August 28th, 2021. If selected to interview, interviews will be scheduled for Spring break and we will email you.
If you have any questions, comments, or concerns please feel free to send them to [email protected]. Please link any available portfolios or previous work (i.e. Github, websites, links to apps, etc.) in your cover letter. We look forward to reviewing your application!
Requirements:
For applicants interested in the iOS app development team, proficiency with Swift and XCode is required. Experience with SwiftUI is recommended, but not required.
For applicants interested in the web development team, proficiency with HTML, DOM, and CSS is required. Experience with Firebase and React/Node.js is recommended, but not required.
Applicants must have a strong background in computer science fundamentals. We are looking for applicants who are team-oriented, excellent communicators, and have great time management skills. Prospective applicants should be available to work full time during the summer (roughly 30 hours a week) and must be entering grades 10-12 in high school.