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Pytorch Internship Jobs in Raleigh, NC (NOW HIRING)

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

Prior internship or project experience in finance, asset management, or a related quantitative ... Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.

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Pytorch Internship information

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$8

$16

$23

How much do pytorch internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for pytorch internship in Raleigh, NC is $16.82, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 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.

What are the most commonly searched types of Pytorch jobs in Raleigh, NC? The most popular types of Pytorch jobs in Raleigh, NC are:
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Pytorch Internship jobs near you
NetApp Emerging Talent - Software Engineer (Cloud Storage)

NetApp Emerging Talent - Software Engineer (Cloud Storage)

NetApp

Morrisville, NC • On-site

$56.25 - $73/hr

Other

Medical, Life, Retirement, PTO

Posted 21 days ago

Job description

Job Summary

Are you passionate about cloud technologies and eager to develop innovative cloud-based solutions? NetApp is looking for talented and motivated Software Engineers to join our Cloud Engineering team. As a Software Engineer in Cloud Storage, you will play a crucial role in developing and maintaining cloud-based solutions, focusing on solving complex problems and automation. 

  • Software Development:Assist in designing, developing, and maintaining software solutions according to project requirements and established software development standards
  • System Integration:Support the integration of various cloud services and APIs to enhance the functionality and performance of our cloud solutions
  • Debugging and Troubleshooting:Identify, troubleshoot, and resolve system defects and issues. This includes debugging code, resolving configuration issues, and fixing software defects
  • Collaboration:Work closely with cross-functional teams, including product management, operations, and other engineering teams, to deliver high-quality cloud solutions
  • Documentation:Create and maintain comprehensive documentation for software designs, APIs, and testing procedures. Develop, modify, and review test plans
  • Continuous Improvement:Identify and implement improvements in software development processes, tools, and methodologies
  • Support:Provide support for cloud marketplace offerings, including troubleshooting and resolving customer issues with a sense of urgency
Job Requirements

Technical Skills: 

  • Proficiency in programming languages such as C, C++, Python, and scripting languages 
  • Experience working with Linux, AWS, Azure, GCP, and Kubernetes 
  • Experience with SQL and Document Databases (e.g., MongoDB, Cassandra, Cosmos DB, DocumentDB) 
  • Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI) 
  • Familiarity with infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation, ARM) 
  • Experience with automated testing frameworks and tools 
  • Experience with AI/ML frameworks like PyTorch or TensorFlow is a Plus 

Soft Skills: 

  • Strong problem-solving and analytical skills 
  • Excellent communication and collaboration skills 
  • Ability to work independently and as part of a team 
  • Attention to detail and a commitment to quality 

Additional Details: 

  • Experience Info: If you have a Bachelor's degree and less than 2 years of relevant experience, excluding internships, please DO NOT apply to this role. Instead, please apply to Job ID: 134508.
  • Job Posting Info: This is a pipeline position that will be opened on a recurring basis and used to fill roles aligned with the required skill sets. 
  • Program Dates: This is a full-time role with a start date in 2026. Recruiting efforts will be ongoing until specific teams find an ideal match. 

Timeline: 

  • Applications open: April 2026 
  • Applications close:This application will close in early July 2026
  • Interviews:will occur on an as needed basis
Education

Typically requires a Bachelor's degree with a minimum of 2 years relevant experience, a Master's degree with no experience, or equivalent work experience

Compensation:
The target salary range for this position is 113,050 - 168,300 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 

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