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Tensorflow Internship Jobs in Berkeley, CA (NOW HIRING)

SupportFinity™

Software Engineer Intern

San Francisco, CA · On-site

$100 - $125/hr

... Tensorflow, Google X). We recently raised $5M in seed funding from leading Silicon Valley investors ... This role is ideal for interns who enjoy solving ambiguous problems, shipping fast, and learning ...

Noso Labs Inc.

Full Stack Engineer

San Francisco, CA · On-site

$150 - $200/hr

This is not a standard internship or part-time role, you'll be a core member of the team, writing ... Familiarity with ML frameworks like TensorFlow or PyTorch and basic NLP/AI concepts * Comfortable ...

Refinitiv

Applied Scientist Intern

San Francisco, CA · On-site

$60 - $80/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you ... Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit‑learn, spaCy, LangChain ...

New

THOMSON REUTERS

Applied Scientist Intern

San Francisco, CA · On-site

$17.75 - $23.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you ... Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain ...

Thomson Reuters

Applied Scientist Intern

San Francisco, CA · On-site

$17.75 - $23.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you ... Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy, LangChain ...

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All JobsTensorflow JobsTensorflow Internship JobsTensorflow Internship Jobs in Berkeley, CA

Tensorflow Internship information

See Berkeley, CA salary details

$14

$27

$51

How much do tensorflow internship jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for tensorflow internship in Berkeley, CA is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $30.00 per hour, depending on experience, location, and employer.

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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Tensorflow Internship jobs near you
Infographic showing various Tensorflow Internship job openings in Berkeley, CA as of August 2026, with employment types broken down into 10% Internship, 57% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $57,315 per year, or $27.6 per hour.

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA • On-site

Temporary, Internship

Re-posted yesterday

Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA. 

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!