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Machine Learning Winter Internship Jobs in Utah (NOW HIRING)

Brex

Brex Rotational Program

Salt Lake City, UT · Hybrid

$58K - $66K/yr

... machine learning, or data analysis. * Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles ...

Williams International

Intern - Machining

Ogden, UT

$24.04/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Williams International

Intern - Machining

Ogden, UT · On-site

$24.04/hr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... Interns are required to maintain 20 hours per week and a progress rate of 67% at one of the Utah ...

Brex

Brex Rotational Program

Salt Lake City, UT · On-site

$58K - $66K/yr

... machine learning, or data analysis. * Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics. * Prior internships/full-time roles ...

Reckitt

Maintenance Intern

Richfield, UT · On-site

$12.75 - $17/hr

Internship Nature: Full-time Internship Location: Chittagong Application Deadline: June 15, 2026 (Monday) Core Responsibilities - Preparing the Critical Machine Spare Parts list. - Updating the ...

Utah 2034

Team Assistant

Salt Lake City, UT · On-site

... Winter Games experience in support of the vision to elevate communities, elevate sport, and elevate ... Comfort learning new systems, tools, and administrative processes * Ability to work effectively in ...

Snow College

Welding Technology Instructor

Ephraim, UT · On-site

$61K - $64K/yr

Experience with Canvas or other Learning Management Systems. * Curriculum development experience ... Exposure to welding equipment, machinery, dust, fumes, and shop environments is expected. Safe ...

Utah 2034

Team Assistant

Salt Lake City, UT · On-site

... Winter Games experience in support of the vision to elevate communities, elevate sport, and elevate ... Comfort learning new systems, tools, and administrative processes * Ability to work effectively in ...

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Machine Learning Winter Internship information

What types of projects and tasks can I expect to work on during a Machine Learning Winter Internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What is a Machine Learning Winter Internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

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

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

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

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in Utah? For Machine Learning Winter Internship jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Winter Internship jobs in Utah look for? The top searched job categories for Machine Learning Winter Internship jobs in Utah are:
What cities in Utah are hiring for Machine Learning Winter Internship jobs? Cities in Utah with the most Machine Learning Winter Internship job openings:
Machine Learning Winter Internship jobs near you
Brex Rotational Program

Brex Rotational Program

Brex

Salt Lake City, UT • Hybrid

$58K - $66K/yr

Other

Posted 2 days ago

Job description

What you'll do

Throughout this 18-20 month program, you'll rotate through two of our G&A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.

You'll challenge the status quo, bringing insights from each rotation to the next to improve cross-team communication and efficiency. We believe in a founder mindset - and this program is designed to show you how you can take ownership of your growth. During each rotation, you'll complete a core project focused on key data insights, process implementation, or process improvement-many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.

The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.

Where you'll work

This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Handle day-to-day tasks efficiently.
  • Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
  • Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
  • Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.
  • Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.

Requirements

  • Bachelor's degree.
  • Demonstrated experience using AI tools and applying effective prompting skills.
  • Strong problem-solving abilities and comfort working through ambiguity.
  • Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
  • Proven ability to work both independently and in cross-functional teams.
  • Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
  • Desire to contribute in a fast-paced environment with a founding team member mindset.

Bonus Points

  • Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
  • Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
  • Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
  • Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
  • Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
  • Familiarity with Retool, Salesforce, Hex, and Looker.

Compensation

The expected salary range for this role is $58,700- 66,038.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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