ZipRecruiter

Log In

1

Pytorch Internship Jobs in California (NOW HIRING)

Tata Consultancy Services

Agentic AI Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

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

Ai2

Young Investigator, FlexOlmo

Berkeley, CA · On-site

$57K - $57K/yr

... interns) as well as opportunities to receive mentorship in academic activities such as grant ... PyTorch). • An outstanding publication record at AI-related venues, such as NeurIPS, ICLR, ICML ...

previous page

Showing results 41-60

All JobsPytorch JobsPytorch Internship JobsPytorch Internship Jobs in California

Pytorch Internship information

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 California?

The most popular types of Pytorch jobs in California are:

What are popular job titles related to Pytorch Internship jobs in California?

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

What job categories do people searching Pytorch Internship jobs in California look for?

The top searched job categories for Pytorch Internship jobs in California are:

What cities in California are hiring for Pytorch Internship jobs?

Cities in California with the most Pytorch Internship job openings:

Pytorch Internship jobs near you
Infographic showing various Pytorch Internship job openings in California as of August 2026, with employment types broken down into 10% Internship, 65% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 26 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Job Summary:
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. The Human Performance and Experience team is seeking a Research Scientist to advance AI in gaming and robotics by understanding human interaction and perception, collaborating with various teams and mentoring interns.
Responsibilities:
• Propose, research, prototype and test innovative research ideas.
• Publish at top conferences and patent novel inventions.
• Collaborate with other research team members, external researchers, and mentor interns.
• Create working interactive demonstrations to showcase your research ideas.
• Participate in technology transfer with engineers around NVIDIA as ideas "graduate" from research to product.
Qualifications:
Required:
• Ph.D. or equivalent research experience in Computer Science/Electrical Engineering/Cognitive Science or related field.
• Excellent track record of publications in top-tier conferences (SIGGRAPH, CHI, HRI, ICRA, NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, CoG, ETRA, etc.).
• Experience with studying human behaviors in related application domains such as gaming, driving, interacting with robots, etc.
• Proficiency with Python, Rust, and/or C++.
• Experience with AI model training and evaluation frameworks, like PyTorch.
Preferred:
• Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code).
• Experience with multi-node, multi-GPU training and inference workflows.
• Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs).
• A track record of applying human behavior models to machine learning applications, or applying machine learning to understand or model human behavior.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply