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Machine Learning Intern Jobs in Boise, ID (NOW HIRING)

Intern

Boise, ID · On-site

$20/hr

Your role Your role : Are you a motivated self-starter? Can you take an assignment and run with it? If you're ready to dive into a fast-paced, client-focused work environment, an internship may be ...

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Machine Learning Intern information

See Boise, ID salary details

$24.3K

$40.5K

$83.8K

How much do machine learning intern jobs pay per year?

As of Jun 29, 2026, the average yearly pay for machine learning intern in Boise, ID is $40,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

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 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 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.

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 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 most commonly searched types of Machine Learning jobs in Boise, ID? The most popular types of Machine Learning jobs in Boise, ID are:
What are popular job titles related to Machine Learning Intern jobs in Boise, ID? For Machine Learning Intern jobs in Boise, ID, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Boise, ID look for? The top searched job categories for Machine Learning Intern jobs in Boise, ID are:
What cities near Boise, ID are hiring for Machine Learning Intern jobs? Cities near Boise, ID with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Boise, ID as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 43% Part Time, and 2% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $40,530 per year, or $19.5 per hour.
Intern

$20/hr

Part-time

Posted 5 days ago


Job description

Your role
Your role : Are you a motivated self-starter? Can you take an assignment and run with it? If you're ready to dive into a fast-paced, client-focused work environment, an internship may be the right fit for you. We welcome interns to become a part of our team. You will work with our experts and learn about the industry, our clients and our firm. This is an opportunity to gain valuable insight, develop new skills, and establish a network of mentors and business contacts. You'll leave with a lot more than a job listing on your resume. Applications for this role can be submitted until June 21, 2026.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.
We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Your expertise
Ideally enrolled in a two- or four-year college or university. In particular, you have: A balanced resume which includes solid academic performance and campus involvement. A genuine interest in exploring the field of Wealth Management
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more? Visit ubs.com/careers.
How we hire
We may request you to complete one or more assessments during the application process. Learn more

UBS Financial Services logo

About UBS Financial Services

Sourced by ZipRecruiter

UBS is the world's largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

Industry

Securities, commodity contracts, and financial investments

Company size

10,000+ Employees

Headquarters location

Weehawken, NJ, US