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Fall Computer Science Internships Jobs in Berkeley, CA

Hayden AI

Associate Data Scientist

San Francisco, CA

$69K - $70K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field. * 6+ months of Data Science related work, projects or internships. * Strong SQL ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$110 - $160/hr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field. * 6+ months of Data Science related work, projects or internships. * Strong SQL ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field. * 6+ months of Data Science related work, projects or internships. * Strong SQL ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer ... internships * Experience developing in a production-facing environment and familiarity with ...

Astranis

Power Electronics Intern (Fall 2026)

San Francisco, CA · On-site

$19.75 - $25.50/hr

Power Electronics Intern (Fall 2026) Internships at Astranis typically last for twelve weeks, and ... S. in electrical or computer engineering (or equivalent technical degree) * Interest in learning ...

Tacit

RF Hardware Intern (Fall 2026)

San Francisco, CA · On-site

$40 - $60/hr

... human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock ... About the role We're seeking motivated RF Hardware interns to contribute to the development and ...

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Data Science Intern (Winter 2027)

San Francisco, CA · On-site

$76 - $81/hr

... Computer Science, or Natural Sciences. Must graduate before December 2027 . * This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office ...

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Fall Computer Science Internships information

What are Fall Computer Science Internships?

Fall Computer Science Internships are temporary positions offered by companies, organizations, or academic institutions to students or recent graduates during the fall semester. These internships provide hands-on experience in software development, programming, data analysis, or related computer science fields. Interns typically work on real-world projects under the guidance of experienced professionals, gaining valuable technical skills and industry exposure. Fall internships can enhance your resume, expand your professional network, and sometimes lead to full-time job offers after graduation.

What types of projects do Fall Computer Science interns typically work on, and how is mentorship structured?

Fall Computer Science Interns commonly work on real-world projects that align with the company's ongoing initiatives, such as developing new software features, debugging existing applications, or contributing to team-based research. Mentorship is usually provided through a designated supervisor or a buddy system, offering regular check-ins, code reviews, and guidance on both technical and professional growth. Interns are encouraged to collaborate closely with other engineers, attend team meetings, and actively participate in brainstorming sessions, which helps them build valuable skills and expand their professional network.

What are the key skills and qualifications needed to thrive in Fall Computer Science internships, and why are they important?

To thrive in Fall Computer Science Internships, you typically need a solid understanding of programming fundamentals, data structures, algorithms, and current enrollment in a computer science or related degree program. Familiarity with coding languages like Python, Java, or C++, and experience with collaborative tools like Git or project management systems are often expected. Strong problem-solving abilities, effective communication, and the ability to work well in teams help interns stand out. These skills and qualifications enable interns to contribute meaningfully to projects and maximize learning in a professional tech environment.

What are popular job titles related to Fall Computer Science Internships jobs in Berkeley, CA?

For Fall Computer Science Internships jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Fall Computer Science Internships jobs in Berkeley, CA look for?

The top searched job categories for Fall Computer Science Internships jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Fall Computer Science Internships jobs?

Cities near Berkeley, CA with the most Fall Computer Science Internships job openings:

Fall Computer Science Internships jobs near you
Infographic showing various Fall Computer Science Internships job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Sr. Machine Learning Engineer, Applied Science

Pinterest

San Francisco, CA • On-site, Remote

$144K - $190K/yr

Full-time

Re-posted 27 days ago

Job description

Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.

We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you'll get to work with Pinterest's rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways.

What you'll do:

  • Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We're looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
  • Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
  • Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
  • Publish and publicize your work via conferences, paper submissions, blog posts, etc. 
  • Mentor more junior researchers or research interns within the Pinterest Labs organization.


What we're looking for:

  • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models.
  • 5+ years of industry computer vision experience.
  • M.S. or PhD in Machine Learning, Computer Science, or related areas.

Nice to Have:

  • Publications at top ML conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.


In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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