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Pytorch Internship Jobs (NOW HIRING)

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

PyTorch, TensorFlow, or JAX * Hardware: Arduino, PCB design, or embedded systems * Design: Figma ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

PyTorch, TensorFlow, or JAX * Hardware: Arduino, PCB design, or embedded systems * Design: Figma ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

PyTorch, TensorFlow, or JAX * Hardware: Arduino, PCB design, or embedded systems * Design: Figma ... Availability for an internship in New York City. Preferred Qualifications: * Prior experience with ...

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Pytorch Internship information

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How much do pytorch internship jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for pytorch internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

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.

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Pytorch Internship jobs near you
Infographic showing various Pytorch Internship job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Internship

Kinetic Systems and Technologies, Inc

San Francisco, CA • On-site

Full-time

Re-posted yesterday

Job description

Kinetic Systems is an applied research lab building data infrastructure for the autonomous hospital.
We spun out of the Stanford PhD program in 2025 and are backed by General Catalyst. Our mission is to advance the capabilities of frontier models for solving clinically and economically meaningful healthcare tasks.
The Role
As an Intern, you'll get hands-on experience across the full stack of what we do: product, research, training, evals, and infrastructure.
Note: This is a full-time role, required to be in-person in SF. Internships must be at least 3-months.
What You'll Do
  • Whatever it takes! Please read the other job descriptions to get a sense of what we do

Who You Are
  • Have experience with PyTorch, HuggingFace, or similar libraries
  • Familiar with best practices around RLEs, benchmarks, evals, and post-training
  • Interested in healthcare as an application (prior background not necessary)

Why Us
If you join our team, you will be joining a team with leading healthcare + AI expertise, and an opportunity to help advance AI research in one of its most meaningful application areas.

Apply