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Pytorch Internship Jobs in Berkeley, CA (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... Strong programming skills in Python and PyTorch * Ability to work in-person at our San Francisco ...

Cisco

Senior AI Researcher

San Francisco, CA · On-site

Mentor researchers, engineers and interns, elevating the team's scientific rigor and engineering ... Expert-level proficiency in Python, PyTorch, distributed machine learning, and modern AI research ...

Cisco

Senior AI Researcher

San Francisco, CA

Mentor researchers, engineers and interns, elevating the team's scientific rigor and engineering ... Expert-level proficiency in Python, PyTorch, distributed machine learning, and modern AI research ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... Strong programming skills in Python and PyTorch * Ability to work in-person at our San Francisco ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... Strong programming skills in Python and PyTorch * Ability to work in-person at our San Francisco ...

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How much do pytorch internship jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for pytorch internship in Berkeley, CA is $21.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $23.56 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.

What are the most commonly searched types of Pytorch jobs in Berkeley, CA?

The most popular types of Pytorch jobs in Berkeley, CA are:

What are popular job titles related to Pytorch Internship jobs in Berkeley, CA?

For Pytorch Internship jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Pytorch Internship jobs in Berkeley, CA look for?

The top searched job categories for Pytorch Internship jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Pytorch Internship jobs?

Cities near Berkeley, CA with the most Pytorch Internship job openings:

Pytorch Internship jobs near you
Infographic showing various Pytorch Internship job openings in Berkeley, CA as of August 2026, with employment types broken down into 10% Internship, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $44,073 per year, or $21.2 per hour.

Research Scientist Intern, AI Alignment

Meta

San Francisco, CA

$7.6K - $12K/mo

Full-time, Internship

Re-posted 14 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta is committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Alignment Responsibilities:
  • Develop novel state-of-the-art algorithms and corresponding systems, leveraging various deep learning techniques
  • Analyze and improve various aspects of the corresponding algorithms and systems, including efficiency, scalability, stability, fairness, security, and privacy
  • Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, Java or other related languages
  • Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred Qualifications:
  • Intent to return to degree program after the completion of the internship/co-op
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, CCS, IEEE S&P, MLSys, or similar
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
  • Experience building large-scale machine learning systems and training with large datasets
  • Experience communicating complex research in a clear, precise, and actionable manner
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience working and communicating cross functionally in a team environment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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