ZipRecruiter

Log In

1

Machine Learning Intern Jobs in Remote, OR (NOW HIRING)

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Remote, OR

Machine Learning Intern information

See Remote, OR salary details

$25.5K

$42.5K

$87.9K

How much do machine learning intern jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning 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 does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs

What are the most commonly searched types of Machine Learning jobs in Remote, OR?

The most popular types of Machine Learning jobs in Remote, OR are:

What are popular job titles related to Machine Learning Intern jobs in Remote, OR?

For Machine Learning Intern jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern jobs in Remote, OR look for?

The top searched job categories for Machine Learning Intern jobs in Remote, OR are:

What cities near Remote, OR are hiring for Machine Learning Intern jobs?

Cities near Remote, OR with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Remote, OR as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 24% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $42,542 per year, or $20.5 per hour.

Summer High School App Development Startup Intern(Remote)

Hideouts

OR • On-site, Remote

$14 - $18.75/hr

Full-time, Temporary, Internship

Re-posted 21 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.

Apply