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Pytorch Internship Jobs in Tempe, AZ (NOW HIRING)

Wireless Network Lab Intern

Chandler, AZ

$14.75 - $19.75/hr

Research focus in machine learning, with hands-on experience in deep learning frameworks (PyTorch ... Prior industry research internship experience. If you have what it takes to push boundaries and ...

Wireless Network Lab Intern

Chandler, AZ · On-site

$14.75 - $19.75/hr

Research focus in machine learning, with hands-on experience in deep learning frameworks (PyTorch ... Prior industry research internship experience. If you have what it takes to push boundaries and ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... as PyTorch, TensorFlow, or Jax. Bonus: - Experience in self-driving, traffic simulation, or a ...

... internships, work experience, research projects, and papers at top conferences. - Strong ... Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $158,000 - $269,000 ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... as PyTorch, TensorFlow, or Jax. Bonus: - Experience in self-driving, traffic simulation, or a ...

... internships, work experience, research projects, and papers at top conferences. - Strong ... Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $158,000 - $269,000 ...

Pytorch Internship information

See Tempe, AZ salary details

$8

$16

$22

How much do pytorch internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for pytorch internship in Tempe, AZ is $16.57, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $18.41 per hour, depending on experience, location, and employer.

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 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 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 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.