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Pytorch Internship Jobs in Utah (NOW HIRING)

Sony

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Sony

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Sony

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Sony

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Sony

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research communities ...

Smule

Internship - Research Engineer

Salt Lake City, UT · On-site

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 ...

Block

This is not a traditional internship. You'll own a research problem end-to-end: framing the ... Fluency in Python and experience with PyTorch, JAX, or similar frameworks. * Evidence of research ...

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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?

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What job categories do people searching Pytorch Internship jobs in Utah look for?

The top searched job categories for Pytorch Internship jobs in Utah are:

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Cities in Utah with the most Pytorch Internship job openings:

Pytorch Internship jobs near you
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 - Foundational Research Scientist

Salt Lake City, UT • On-site

Smule, Inc
11 - 50 employees
Learn more about Smule, Incexternal

Full-time

Re-posted 26 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 looking for a Research Scientist to join Smule's Foundational Research team. In this role you will pursue long-horizon research questions that advance the state of the art in sequence modeling, generative modeling, and representation learning, with a particular focus on architectures and methods relevant to audio and music. You will design and execute rigorous experiments, publish at top venues, and contribute novel ideas that shape the direction of Smule's research agenda. The ideal candidate is deeply curious, comfortable with open-ended exploration, and motivated by scientific contribution.
We strongly encourage candidates with non-traditional ML backgrounds to apply. If your path into machine learning research came through physics, mathematics, signal processing, music technology, neuroscience, or another field, we want to hear from you.
What You'll Be Doing:
  • Identify, scope, and lead independent research projects that push the boundaries of current understanding in areas such as efficient sequence modeling, generative audio, representation learning, and optimization.
  • Design experiments with rigorous controls, ablation studies, and statistical analysis to validate hypotheses.
  • Publish findings at top-tier venues (NeurIPS, ICML, ICLR, Interspeech, ISMIR, or equivalent) and contribute to the broader research community through open-source artifacts and talks.
  • Collaborate with applied research and engineering teams to translate foundational insights into practical improvements for Smule's products.
  • Stay current with the latest literature, synthesize relevant work, and identify high-leverage research directions for the team.
  • Mentor junior researchers and interns, fostering a culture of intellectual rigor and creative exploration.

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 publication record at top ML/AI venues demonstrating original contributions.
  • Deep expertise in at least one core area: sequence modeling, generative models, optimization, probabilistic methods, or representation learning.
  • Proficiency in Python and modern deep learning frameworks (PyTorch preferred).
  • Excellent written and verbal communication skills; ability to present complex ideas clearly to diverse audiences.
  • Demonstrated ability to independently scope, execute, and communicate a research project from idea to publication.

Bonus Points For:
  • Experience with audio, speech, or music signal processing and modeling.
  • Familiarity with linear attention mechanisms, state-space models, or efficient transformer variants.
  • Experience with large-scale distributed training and high-performance computing.
  • Track record of successful cross-functional collaboration with engineering teams.

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.

Apply