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Machine Learning Summer Intern Jobs in Utah (NOW HIRING)

Forvis Mazars

You will work alongside our senior staff and management personnel, learning from their experience ... and summer internships can typically run from early-June through mid-August. How you will ...

Williams International

Engineer - Mfg

Ogden, UT

$71K - $92K/yr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... In addition, one to two years of summer intern or co-op experience in an engineering or ...

Williams International

Engineer - Mfg

Ogden, UT

$71K - $92K/yr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... In addition, one to two years of summer intern or co-op experience in an engineering or ...

Williams International

Engineer - Mfg

Ogden, UT · On-site

$71K - $92K/yr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... In addition, one to two years of summer intern or co-op experience in an engineering or ...

Williams International

Engineer - Mfg

Ogden, UT

$71K - $92K/yr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... In addition, one to two years of summer intern or co-op experience in an engineering or ...

Williams International

Engineer - Mfg

Ogden, UT · On-site

$71K - $92K/yr

Our culture fosters creativity, collaboration, and continuous learning to position our team members ... In addition, one to two years of summer intern or co-op experience in an engineering or ...

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All JobsMachine Learning Summer Intern JobsMachine Learning Summer Intern Jobs in Utah

Machine Learning Summer Intern information

What types of projects does a machine learning summer intern typically work on?

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?

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 is a machine learning summer intern?

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 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 cities in Utah are hiring for Machine Learning Summer Intern jobs? Cities in Utah with the most Machine Learning Summer Intern job openings:
Machine Learning Summer Intern jobs near you
Infographic showing various Machine Learning Summer Intern job openings in Utah as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Industrial/Organizational Product Science Intern | Fully Remote US

HireVue Inc

Sandy, UT • Remote

Part-time, Internship

Posted 2 days ago

New

Job description

Company Description

Hirevue is where hiring happens – transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue’s end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.

Job Description

As an Industrial/Organizational (I/O) Product Science Intern, you will support the research, design, and testing of new assessments and assessment-related product features.

You will work with Industrial/Organizational Psychologists and other internal teams to apply research within the Hirevue platform. Projects may include large language models, machine learning, simulations, conversational assessments, and other interactive assessment methods.

This is a six-month internship beginning in August or September, with the possibility of extension. This role is a part-time internship, not exceeding 20 hours per week and does not involve direct customer interaction.

Essential Duties and Responsibilities

  • Support the design, development, testing, and quality review of new assessments.

  • Apply Industrial/Organizational Psychology, research, and data analysis skills to product projects.

  • Assist with assessment content, scoring methods, prototypes, and AI-enabled features.

  • Review research on selection and emerging assessment technologies, and help translate findings into product features.

  • Support research on reliability, validity, fairness, subgroup differences, usability, and candidate experience.

  • Serve as an expert evaluator by reviewing and rating the quality, accuracy, and effectiveness of assessment tools and technology-generated outputs.

  • Collaborate with Industrial/Organizational Psychology, Product, and Data Science teams and share findings with technical and non-technical audiences.

Qualifications

  • Currently enrolled in a Ph.D. program in Industrial/Organizational Psychology or a related field preferred.

  • At least two years of graduate-level education in Industrial/Organizational Psychology or a related field preferred.

  • Knowledge of personnel selection, psychometrics, statistics, research methods, or assessment development.

  • Experience analyzing quantitative and qualitative data.

  • Experience with assessment development, validation, or evaluation is preferred.

  • Interest or experience in emerging assessment technologies, such as large language models, machine learning, natural language processing, prompt design, experimental design, or AI evaluation.

  • Knowledge of EEO requirements, fairness, and professional guidelines for employee selection.


Additional Information

All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go. 

Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.

Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.

Hirevue is NOT currently hiring in:

AK, HI, IA, ME, MS, NM or WV.

#remote-us