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Pytorch Internship Jobs in Utah (NOW HIRING)

Strong proficiency in Python and experience with PyTorch, including custom modules, training loops, and distributed training (DDP, FSDP). * Solid understanding of software engineering best practices ...

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 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 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 are popular job titles related to Pytorch Internship jobs in Utah?

For Pytorch Internship jobs in Utah, the most frequently searched job titles are:

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.

Internship - Research Engineer

Smule

Salt Lake City, UT • On-site

$85 - $120/hr

Other

Re-posted 20 days ago


Job description

Smule has been on a mission to bring the world together through music since 2008. Music is much more than listening… it's about creating, sharing, discovering, participating, and connecting with people. With dozens of millions of monthly active users creating over 20 million songs every day, Smule is connecting people all over the world through the joy of making music and transforming the music landscape from one of passive listening to collaborative creative expression and active engagement.

About the Role

We are hiring a Research Engineer to accelerate Smule's research teams by building the infrastructure, tooling, and experimental frameworks that make rigorous research possible at scale. You will work side‑by‑side with research scientists, turning experimental ideas into robust, reproducible code and helping bridge the gap between prototype and production. The ideal candidate is a skilled software engineer with genuine curiosity about ML research, deep systems knowledge, and a talent for making researchers more productive.

We strongly encourage candidates with non‑traditional backgrounds to apply. If your path into research engineering came through audio software development, game engine programming, embedded systems, HPC, or another field, we want to hear from you.

What You’ll Be Doing:
  • Design, implement, and maintain research infrastructure including experiment tracking, distributed training pipelines, and evaluation frameworks.
  • Collaborate with research scientists to implement, debug, and optimize novel model architectures, training procedures, and data pipelines.
  • Build tooling and abstractions that accelerate the experiment‑iterate‑publish cycle for the research team.
  • Ensure reproducibility of research results through rigorous version control of code, data, configurations, and compute environments.
  • Profile and optimize training and inference performance across GPU clusters, identifying and resolving bottlenecks.
  • Contribute to open‑source projects and internal libraries that codify best practices and reusable components.
What We’re Looking For:
  • Degree (B.S., M.S., or Ph.D.) in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline, or currently pursuing one.
  • Strong proficiency in Python and experience with PyTorch, including custom modules, training loops, and distributed training (DDP, FSDP).
  • Solid understanding of software engineering best practices: testing, CI/CD, code review, and documentation.
  • Familiarity with Linux, GPU computing, and cloud or on‑prem HPC environments.
  • Ability to read and implement methods from ML research papers.
Bonus Points For:
  • Experience with audio, speech, or music signal processing pipelines.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes, Slurm).
  • Contributions to open‑source ML frameworks or research codebases.

Smule is an Equal Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, medical condition, genetic information, marital status, military or veteran status, or any other protected characteristic under federal, state, or local law.

We are committed to creating an inclusive environment for all employees and applicants. If you require a reasonable accommodation during the application or interview process, please let us know.

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