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Pytorch Internship Jobs (NOW HIRING)

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn * Practical ...

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Pytorch Internship information

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How much do pytorch internship jobs pay per hour?

As of Sep 9, 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 September 2026, with employment types broken down into 13% Internship, 1% As Needed, 66% Full Time, 19% Part Time, and 1% Contract. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

2027 Internship Opportunity: Research & Innovation Support Intern

Pueblo, CO • On-site

Association of American Railroads
51 - 200 employees
Learn more about Association of American Railroadsexternal

Full-time

Posted 8 days ago

Job description

Overview:

The internship will support the Association of American Railroads (AAR) Strategic Research Initiative (SRI) inspection program, particularly rail and wheel inspection projects.

Projects:

  • Rail Inspection
    • Machine learning on raw time-series ultrasonic data (A-scans)
    • Integrate an edge computing device with ultrasonic hardware/software for real-time A-scan analysis and processing
    • Develop time-series ultrasonic and electromagnetic data fusion approach for rolling contact fatigue (RCF) characterization in rails
    • Demonstration of developed approach/methodology
  • Wheel Inspection
    • Wheel sub-surface fatigue crack (SSFC) growth monitoring using a multi-sensor data fusion approach
    • Develop data fusion methodology
    • Demonstrate the developed approach/ methodology

Preferred Level of Education:

  • M.S. or Ph.D. students in the Engineering field or computer Science/ Data Science.

Primary Responsibilities:

  • Data Preprocessing: Clean, normalize, and annotate large inspection datasets (e.g., images, time-series signals).
  • Data Fusion Implementation: Develop algorithms (e.g., Kalman filters, deep learning architectures) that merge data from multiple inspection sensors to improve defect detection accuracy.
  • Model Training: Build and train machine learning models (CNNs, RNNs, or Transformers) using frameworks like PyTorch or TensorFlow to classify flaws or predict material fatigue.
  • Edge Optimization: Deploy, quantize, and compress trained AI/ML models to run efficiently on low-power, localized edge devices (e.g., embedded systems, IoT sensors).
  • Testing & Validation: Validate model outputs using statistical bounds and Probability of Detection (POD) studies.
  • Ensure that all duties and responsibilities are performed in a safe manner.
  • Perform other related duties as assigned.

Apply