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Machine Learning Assistant Jobs in Utah (NOW HIRING)

Marmon

Production Machine Operator

Ogden, UT

$20.70/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Maintain good housekeeping around lines, production floor, and communal areas. * Assist where ...

Marmon

Production Machine Operator

Ogden, UT

$20.70/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Maintain good housekeeping around lines, production floor, and communal areas. * Assist where ...

Snap Finance

Executive Assistant

West Valley City, UT · On-site

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... We are seeking a highly organized, proactive, and resourceful Executive Assistant to support our ...

Orion

Senior Privacy & AI Risk Analyst

Lehi, UT · Hybrid

In coordination with Information Security Team, assist in Vendor Risk Assessments relating to ... Perform privacy reviews and impact assessments for AI and machine-learning use cases that involve ...

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Machine Learning Assistant information

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Utah? The most popular types of Machine Learning jobs in Utah are:
What are popular job titles related to Machine Learning Assistant jobs in Utah? For Machine Learning Assistant jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Utah look for? The top searched job categories for Machine Learning Assistant jobs in Utah are:
What cities in Utah are hiring for Machine Learning Assistant jobs? Cities in Utah with the most Machine Learning Assistant job openings:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Industrial/Organizational Product Science Intern | Fully Remote US

HireVue Inc

Sandy, UT • On-site, Remote

Part-time

Posted 3 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

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