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Internship Computer Science Startup Jobs in Berkeley, 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 ...

Atomic Machines

PLM/CAD Administrator

Emeryville, CA

$110K - $145K/yr

Bachelor's degree in Engineering, Computer Science, Physics, Mechanical Engineering, Electrical ... paced, evolving startup environment. * Proactive, process-oriented mindset with a passion for ...

Serval Inc

Software Engineer Intern

San Francisco, CA · On-site

Currently pursuing a degree in Computer Science, Engineering, or a related technical field with an ... Previous internship or project experience at a startup or fast-paced team. What We Offer * Impact

Swayable

Research Data Scientist

San Francisco, CA · On-site

... startup environment • Experience interacting with MongoDB databases • Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related ...

Goodfire

Research Scientist

San Francisco, CA · On-site

Qualifications : Required : • PhD or equivalent experience in ML, computer science, or a ... startup or fast-paced lab environments. Company : Goodfire is an AI research lab using ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

PhD in computer science, machine learning, computational neuroscience, or related fields (or ... Comfortable in fast moving startup environment, excited to build independently Preferred ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

Company Description Brilent is a well-funded, award winning startup located in the Silicon Valley ... Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative ...

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

What you'll bring Required * BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field. * 1-3 years of experience (including internships or research) in software engineering ...

Mintex Technology

Software Engineer

San Francisco, CA · On-site

$185K/yr

Experience working at a top-tier startup, Big Tech company, or quant firm preferred * Strong computer science fundamentals including systems design, algorithms, and problem-solving * Ability to work ...

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Internship Computer Science Startup information

What does an internship at a computer science startup involve?

An internship at a computer science startup typically involves working on real-world projects, collaborating with experienced engineers, and contributing to software development tasks. Interns may help with coding, debugging, testing, or developing new features, and are often exposed to various aspects of the business, such as product design and customer feedback. Startups usually offer a fast-paced, hands-on learning environment where interns can gain valuable technical and professional skills while making a meaningful impact.

What types of projects or tasks do computer science interns typically work on at startups?

Computer science interns at startups often work on a variety of hands-on projects, such as building new features, fixing bugs, or prototyping innovative ideas. Because startups tend to have smaller teams, interns may have the opportunity to contribute code directly to the product and collaborate closely with engineers, designers, and sometimes even founders. This environment fosters rapid learning and exposure to the full software development lifecycle. Interns may also participate in code reviews, daily standups, and brainstorming sessions, making their work both impactful and dynamic.

What is the difference between Internship Computer Science Startup vs Software Developer Intern?

AspectInternship Computer Science StartupSoftware Developer Intern
Required CredentialsEnrolled in CS or related degree, basic coding skillsEnrolled in CS or related degree, coding skills
Work EnvironmentFast-paced startup setting, collaborative teamsCorporate or startup, team-based projects
Employer & IndustryStartup companies in tech, innovation sectorsTech companies, software firms, startups
Search & Comparison IntentUnderstanding internship roles in startupsComparing internship roles in software development

Internship Computer Science Startup positions typically involve working in dynamic startup environments, focusing on innovative projects with a broad range of responsibilities. Software Developer Intern roles are more structured, often within established companies, emphasizing specific coding tasks. Both require similar educational backgrounds and skills, but the startup internship offers a more versatile experience in a fast-growing setting.

What are the key skills and qualifications needed to thrive as an intern at a computer science startup?

To thrive as an intern at a computer science startup, you need a solid understanding of programming fundamentals, problem-solving skills, and ideally, coursework or experience in areas like algorithms, data structures, or web development. Familiarity with version control systems (like Git), cloud platforms, and common programming languages such as Python or JavaScript is often required. Initiative, adaptability, and strong communication are crucial soft skills for collaborating in a fast-paced, innovative environment. These skills and qualities enable interns to contribute effectively, learn quickly, and grow within the dynamic culture of a startup.

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

The top searched job categories for Internship Computer Science Startup jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Internship Computer Science Startup jobs?

Cities near Berkeley, CA with the most Internship Computer Science Startup job openings:

Internship Computer Science Startup jobs near you

Machine Learning Engineer II, Computer Vision Applied Science

Pinterest

San Francisco, CA • On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 5 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. 
  • 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 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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