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Tensorflow Internship Jobs (NOW HIRING)

Tata Consultancy Services

Agentic AI Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

... TensorFlow, or PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts ...

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... TensorFlow, or PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts ...

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... TensorFlow, or PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts ...

Athena LLC

TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models. * Prior exposure ... Previous internship or project experience demonstrating practical data science applications.

Athenago

Data Science Intern

Wilmington, DE

TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models. * Prior exposure ... Previous internship or project experience demonstrating practical data science applications.

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How much do tensorflow internship jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for tensorflow internship in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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.

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.
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Tensorflow Internship jobs near you
Senior Machine Learning Engineer - Healthtech startup

Senior Machine Learning Engineer - Healthtech startup

LaBine and Associates

Palo Alto, CA • On-site

$123K - $168K/yr

Full-time

Re-posted 21 days ago

Job description

In this role you will:
  • Build, deploy, and improve robust machine learning models for product features.
  • Design both offline and online experiments to test ML product features, and perform data-driven analysis on the results to find actionable insights.
  • Provide input and collaborate closely with the ML Infrastructure team towards the development of technical platforms that power ML systems and engineering infrastructure and operations.
  • Mentor ML engineering interns and team members.
  • Source and interview diverse talent to build and grow a strong ML engineering team.

An ideal candidate has:
  • Experience building production machine learning models and systems: Expertise with the full lifecycle of machine learning algorithms in production, including research, deployment, improvements, and maintenance.
  • Ability to translate product intuition into data-driven hypotheses that result in impactful machine learning/engineering solutions.
  • Experience leading cross-functional teams on strategic machine learning product initiatives from conception to successful product outcomes.
  • Demonstrated ability to collaborate with a diverse set of stakeholders such as researchers, business leaders, domain experts (such as doctors), and product managers to solve complex cross-disciplinary problems.
  • Masters with at least 6 years of relevant experience, or BS with at least 8 years of relevant experience.
  • In-depth experience with at least one machine learning framework (such as TensorFlow, PyTorch, etc.)
LaBine and Associates logo

About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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