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Machine Learning Summer Internship Jobs in Utah (NOW HIRING)

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We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...

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Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...

New

Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...

New

Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...

New

Instacart

We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... D. students to have an internship in our fast moving team. You will have the opportunity to work on ...

New

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All JobsMachine Learning Summer JobsMachine Learning Summer Internship JobsMachine Learning Summer Internship Jobs in Utah

Machine Learning Summer Internship information

What is a machine learning summer internship?

A Machine Learning Summer Internship is a temporary, typically 8-12 week program for students or recent graduates to gain practical experience in machine learning. Interns work under the supervision of experienced professionals, contributing to real-world projects involving data analysis, model development, and algorithm implementation. These internships often provide mentorship, networking opportunities, and exposure to the latest tools and technologies in the field. They are valuable for building technical skills and improving career prospects in artificial intelligence and data science.

What types of projects can I expect to work on during a machine learning summer internship?

As a Machine Learning Summer Intern, you can expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of algorithms into production environments. Interns often work alongside data scientists and engineers on real-world datasets to solve business problems, develop prototypes, or improve existing models. This hands-on experience will help you gain practical skills in using popular ML frameworks and understanding the end-to-end machine learning workflow.

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 background in mathematics, statistics, and programming (especially Python), often supported by ongoing coursework in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and data analysis tools is typically required. Strong problem-solving skills, curiosity, and teamwork are important soft skills that help interns contribute effectively and learn quickly. These skills and qualities are crucial for applying theoretical knowledge, collaborating on real projects, and adapting to the fast-evolving field of machine learning.

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

AspectMachine Learning Summer InternshipData Science Summer Internship
Required CredentialsBasic programming, math, and machine learning knowledgeProgramming, statistics, and data analysis skills
Work EnvironmentDeveloping ML models, algorithms, and prototypesData analysis, visualization, and reporting
Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech firms

Both internships involve working with data and require programming skills, but Machine Learning Summer Internships focus on developing algorithms and models, while Data Science Summer Internships emphasize data analysis and insights. The choice depends on your interest in building models versus analyzing data.

What are the most commonly searched types of Machine Learning Summer jobs in Utah?

The most popular types of Machine Learning Summer jobs in Utah are:

What are popular job titles related to Machine Learning Summer Internship jobs in Utah?

For Machine Learning Summer Internship jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Machine Learning Summer Internship jobs in Utah look for?

The top searched job categories for Machine Learning Summer Internship jobs in Utah are:

What cities in Utah are hiring for Machine Learning Summer Internship jobs?

Cities in Utah with the most Machine Learning Summer Internship job openings:

Machine Learning Summer Internship jobs near you
Infographic showing various Machine Learning Summer Internship job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

2027 | Americas | Salt Lake City | The Core Quantitative Strats | Summer Analyst

Goldman Sachs

Salt Lake City, UT • On-site

Temporary

Posted 20 days ago

Goldman Sachs rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

88th of 174 rated banks

Job description


About the program

Our Summer Analyst Program is a nine to ten week summer internship for students pursuing a bachelors / graduate degree. You will be fully immersed in our day-to-day activities.

As a participant, you will:

  • Attend orientation where you'll learn about our culture, as well as the benefits and responsibilities of being a member of the firm
  • Receive training designed to help you succeed
  • Have the opportunity to work on real responsibilities alongside fellow interns and our people
Submitting Your Application
  • Each applicant has the opportunity to apply to up to 4 separate business / location combinations in any given recruiting year. Any additional application will be auto withdrawn. In order to apply to an additional opportunity, you must withdraw a current application that has not been turned down.
  • A single applicant should not create multiple email addresses to apply to additional opportunities 

About the division

The Core Engineering Division builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for The Core divisions of the firm (e.g., Risk, responsible for the risk profile of firm activities; Controllers, responsible for the financial control and reporting obligations; Compliance, responsible for the firm's compliance, regulatory, and reputational risks; Corporate Treasury, responsible for the firm's liquidity, funding, balance sheet, etc.; and Human Capital Management, responsible for attracting, developing, and managing a global workforce). A centralized engineering structure in support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency.

Our quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success in global financial markets. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment. Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts across the firm to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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