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Internship Computer Science Graduate Jobs in Sunnyvale, CA

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform ... in Computer Science, Operations Research, Statistics, Econometrics, or a related technical ...

Tryfacta, Inc.

Student/Graduate Intern

San Jose, CA · On-site

$28.27 - $32.27/hr

Temporary Student/Graduate Intern Tryfacta is a leading, nationally renowned Workforce Management ... Computer Science * Information Systems * Data Science * Related technical field Preferred Academic ...

Clerkie

Software Engineer Internship

San Francisco, CA · On-site +1

$80/hr

This is a full-time salaried 12 month internship where you'll work closely with our Engineering ... A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data ...

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Internship Computer Science Graduate information

What does an internship computer science graduate do?

An Internship Computer Science Graduate typically works in a temporary position within a company, applying their academic knowledge to real-world projects. Their responsibilities can include assisting with software development, testing code, troubleshooting technical issues, and collaborating with teams on various IT or computer science-related tasks. This role helps graduates gain practical experience, build professional networks, and enhance their skills for future full-time employment in the tech industry.

What are the key skills and qualifications needed to thrive as an internship computer science graduate?

To thrive as an Internship Computer Science Graduate, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and typically a bachelor's degree or enrollment in a computer science program. Familiarity with version control systems like Git, integrated development environments (IDEs), and issue tracking tools is often expected. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help you stand out. These competencies are crucial for contributing to real-world projects, adapting to fast-changing technologies, and collaborating within professional engineering teams.

What types of projects and tasks can I expect to work on during an internship computer science graduate position?

As a Computer Science graduate intern, you'll typically work on real-world projects such as software development, bug fixing, testing, or assisting with research and data analysis. Many internships offer opportunities to contribute to codebases, participate in code reviews, and collaborate closely with experienced developers, designers, and product managers. The tasks assigned are designed to build your technical and problem-solving skills while exposing you to industry-standard tools and workflows. You'll likely have regular check-ins with mentors and team members to support your learning and growth throughout the internship.

What is the difference between Internship Computer Science Graduate vs Entry-Level Software Developer?

AspectInternship Computer Science GraduateEntry-Level Software Developer
Required CredentialsRecent CS degree or in progressBachelor's in CS or related field
Work EnvironmentTemporary, training-focused, often in tech companies or startupsFull-time, ongoing role in software development teams
Employer & Industry UsageInternships offered by tech firms, startups, and universitiesEmployers seeking new graduates for entry-level positions

In summary, an Internship Computer Science Graduate is a temporary, training-focused position aimed at gaining practical experience, while an Entry-Level Software Developer is a full-time role with ongoing responsibilities in software development. Internships often serve as a stepping stone to full-time positions like software developer roles.

What cities near Sunnyvale, CA are hiring for Internship Computer Science Graduate jobs?

Cities near Sunnyvale, CA with the most Internship Computer Science Graduate job openings:

Internship Computer Science Graduate jobs near you

Machine Learning Engineer II, Visual AI

Pinterest

San Francisco, CA • On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 10 days ago

Job description

The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.

Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.

What you'll do:

  • Prototype new model architectures for Pinterest VLMs. We're looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
  • Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
  • 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. 


What we're looking for:

  • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
  • 2+ 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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