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Pytorch Internship Jobs in Utah (NOW HIRING)

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

Pytorch Internship information

What types of projects and collaborative experiences can I expect during a PyTorch Internship?

During a PyTorch Internship, you can expect to work on hands-on machine learning and deep learning projects that involve developing, testing, and optimizing models using the PyTorch framework. Interns often collaborate closely with research scientists, software engineers, and product teams to contribute to real-world applications and open-source initiatives. You may participate in code reviews, brainstorming sessions, and weekly progress meetings, gaining exposure to both independent tasks and team-based problem-solving. This environment fosters both technical growth and communication skills, preparing you for advanced roles in AI and machine learning.

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

To thrive as a PyTorch Intern, you need a solid background in Python programming, machine learning fundamentals, and familiarity with deep learning concepts, typically evidenced by coursework or project experience. Proficiency in PyTorch, version control systems like Git, and tools such as Jupyter Notebooks is highly valued. Strong problem-solving skills, attention to detail, and effective communication help interns contribute meaningfully to team projects and learn quickly. These skills and qualities are crucial for efficiently developing, testing, and deploying machine learning models in a collaborative environment.

What is the difference between Pytorch Internship vs Machine Learning Intern?

AspectPytorch InternshipMachine Learning Intern
Required SkillsProficiency in Pytorch, Python, deep learning conceptsPython, machine learning algorithms, data analysis
Work EnvironmentResearch labs, tech companies, AI startupsTech firms, research institutions, data-driven companies
Industry UsageDeep learning projects, neural network developmentBroader ML applications, data modeling

Both roles involve working with machine learning, but a Pytorch Internship specifically focuses on deep learning frameworks like Pytorch, while a Machine Learning Intern may work across various ML techniques. The Pytorch Internship is ideal for those specializing in neural networks and deep learning, whereas the Machine Learning Intern role covers a wider range of ML applications.

What is a PyTorch internship?

A PyTorch internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with the PyTorch deep learning framework. Interns typically assist with machine learning projects, develop and test models, and contribute to research or product development involving artificial intelligence. These internships provide valuable exposure to real-world applications of AI, opportunities to collaborate with experienced engineers and researchers, and a chance to enhance programming and problem-solving skills. Many internships also offer mentorship and may lead to full-time roles in the field.
What cities in Utah are hiring for Pytorch Internship jobs? Cities in Utah with the most Pytorch Internship job openings:
Infographic showing various Pytorch Internship job openings in Utah as of June 2026, with employment types broken down into 12% Internship, 6% As Needed, 58% Full Time, and 24% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Data/Ai Engineer Intern

Jade Global

Ogden, UT โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Data/Ai Engineer Intern1
Data/AI Engineer in the Data & Ai Team
Launch Your Career with Jade Global
Are you ready to start a career where your talents are recognized, your growth is supported, and your work truly matters?
At Jade Global, we're looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is a plus, it's not required - what matters most is your motivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.
You'll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you'll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3-5 years.
This is not an internship - it's a full-time opportunity with a competitive salary, full benefits, and generous performance-based compensation. You'll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond.
We're seeking the next generation of leaders, problem-solvers, and innovators from top universities around the world - people who are passionate about technology, eager to take ownership, and committed to excellence.
Ready to build your future with us? Let's get started.
Responsibilities include:
  • Collecting and documenting business analytics requirements
  • Analyzing complex data using AI tools and frameworks
  • Exploring the use of LLMs, computer vision, and generative AI to address client business challenges
  • Data collection, preparation, and analysis.
  • Model development and testing.
  • Authoring technical documentation.
  • Presenting solutions to key stakeholders.

Candidate Profile:
  • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field
  • Strong Python programming skills
  • Understanding of ML algorithms like linear regression, classification, clustering, etc.
  • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch
  • Good understanding of data structures and algorithm
  • Desire to learn
  • Strong analytical thinking and problem-solving and analytical skills.
  • Independent person able to manage self and activities within a schedule
  • Able to facilitate conversations and drive decisions
  • Passionate
  • Creative thinker
  • Takes initiative and ownership
  • Strong team player
  • Strong communicator
  • Interest in learning and growing both technically and as a person
  • Exposure to NLP, Computer Vision, or Generative AI is a plus
  • Experience with Jupyter Notebooks and Git is a plus
  • Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus

What You'll Gain:
  • Mentoring and learning from AI/ML professionals
  • Collaborative and innovation-driven environment
  • Strong understanding of business analytic needs
  • Ability to translate customer requirements into visible results through leading edge technology
  • Deep understanding of proven analytics and AI tools
  • Career growth opportunities within the Data & AI team