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Tensorflow Internship Jobs in Virginia (NOW HIRING)

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

... internships may be considered) * Proficiency in programming languages such as Python or R ... Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)

KBR, Inc.

Data Engineer

Chantilly, VA · On-site

$150K - $181K/yr

... internships may be considered) * Proficiency in programming languages such as Python or R ... Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)

KBR

Data Engineer

Chantilly, VA

$150K - $181K/yr

... internships may be considered) * Proficiency in programming languages such as Python or R ... Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)

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Tensorflow Internship information

What is a TensorFlow internship?

A TensorFlow internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with TensorFlow, an open-source machine learning framework developed by Google. Interns typically contribute to real-world projects involving machine learning, deep learning, and AI, using TensorFlow to build, train, and deploy models. These internships provide practical exposure to data science workflows, allow interns to collaborate with experienced professionals, and help them build a strong foundation for a career in artificial intelligence or machine learning.

What types of projects and responsibilities can a TensorFlow intern expect to work on during their internship?

As a Tensorflow intern, you will typically assist with developing and optimizing machine learning models using Tensorflow, collaborating closely with data scientists and engineers. Your daily tasks may include preprocessing datasets, implementing neural networks, running experiments, and evaluating model performance. Interns often contribute to ongoing research or product development, gaining exposure to both coding and theoretical aspects of deep learning. You'll also have opportunities to participate in code reviews and team meetings, fostering both technical and collaborative skills.

What are the key skills and qualifications needed to thrive as a TensorFlow intern, and why are they important?

To thrive as a TensorFlow Intern, you typically need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects. Familiarity with Python, TensorFlow, and related libraries, as well as experience using version control systems like Git, is essential. Strong problem-solving skills, curiosity, and effective teamwork set standout candidates apart. These abilities are crucial for efficiently developing and testing machine learning models within collaborative and innovative environments.

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The most popular types of Tensorflow jobs in Virginia are:

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Tensorflow Internship jobs near you

Internship - Machine Learning (Python) Research & Applied AI

Novateur Research Solutions

Ashburn, VA • On-site

Other

Re-posted 17 days ago

Job description

Internship Opportunity — Machine Learning (Python) | Research & Applied AI


Novateur Research Solutions, LLC is looking for motivated interns with strong Python programming skills to join our team working on cutting-edge machine learning and data-driven research.

We work on challenging, real-world problems where ML meets large-scale systems and complex data—ranging from healthcare to geospatial intelligence and simulation.

What you'll work on:

  • Medical image analysis (computer vision for healthcare applications)
  • Geospatial data mining and spatial intelligence
  • Long-term spatiotemporal modeling and forecasting
  • Large-scale microsimulation and computational modeling

Required Skills:

  • Strong Python programming ability
  • Experience with PyTorch or TensorFlow
  • Solid understanding of machine learning fundamentals
  • Comfort working with data structures and debugging code
  • Ability to learn quickly in a research-oriented setting

What you'll gain:

  • Hands-on experience solving real-world ML research problems
  • Exposure to interdisciplinary AI applications
  • Mentorship from experienced researchers and engineers
  • Opportunity to contribute to impactful, production-relevant research

Apply