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Computer Science Internship At Tech Startup Jobs in California

SkyGig

ML Software Engineer Intern

San Jose, CA · On-site

Currently pursuing a degree in Computer Science, Electrical Engineering, Applied Mathematics or a ... Paid, full-time, onsite internship at our Bay Area, CA location with competitive salary

Rundoo

Software Engineer

Redwood City, CA · On-site

$186K/yr

Studied computer science and math at Stanford; worked a couple internships at Meta + some startups ... Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and ...

Rundoo

Software Engineer

Redwood City, CA · On-site

$186K/yr

Studied computer science and math at Stanford; worked a couple internships at Meta + some startups ... Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and ...

Evolver

Applied Data Science Intern

Palo Alto, CA

... applications at a frontier startup environment. Program Details: Evolver is launching a small ... Interns will contribute to real data innovation projects involving: * Data analysis and machine ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

... applications at a frontier startup environment. Program Details: Evolver is launching a small ... Interns will contribute to real data innovation projects involving: * Data analysis and machine ...

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How much do computer science internship at tech startup jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for computer science internship at tech startup in California is $23.86, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $27.31 per hour, depending on experience, location, and employer.

What is a computer science internship at a tech startup?

A computer science internship at a tech startup is a temporary, hands-on work experience where students or recent graduates apply their programming, development, and problem-solving skills in a real-world tech environment. Interns typically work on coding projects, assist in software development, and collaborate with experienced engineers. Startups often provide opportunities to work on diverse tasks, learn new technologies quickly, and contribute meaningfully to active products. This experience can help interns build practical skills, expand their professional network, and improve their employability in the tech industry.

What types of projects and responsibilities can I expect during a Computer Science internship at a tech startup?

As a Computer Science intern at a tech startup, you can expect to work on a variety of hands-on projects, such as developing new features, debugging code, or contributing to the deployment of software applications. Startups often have small, agile teams, so interns frequently collaborate closely with software engineers, product managers, and designers, gaining exposure to multiple aspects of the development process. You may also participate in code reviews, team meetings, and brainstorming sessions, which offers a great opportunity to learn from experienced mentors and see how your work impacts the product. The fast-paced, dynamic environment encourages initiative and adaptability, making it a valuable learning experience for those aspiring to build a career in tech.

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

AspectComputer Science Internship At Tech StartupSoftware Developer Intern
Required CredentialsTypically students or recent graduates with foundational CS knowledgeSimilar, often students or early-career individuals with coding skills
Work EnvironmentFast-paced, innovative startup setting with diverse projectsStartup or corporate environment focusing on software development
Industry UsageCommon in tech startups across various sectorsWidely used in software companies, tech firms, and startups
Search & Comparison IntentPeople exploring internship opportunities in tech startupsIndividuals comparing internship roles in software development

Both roles involve gaining practical experience in coding and software projects within a startup environment. The main difference lies in the job title, with "Computer Science Internship" emphasizing foundational CS skills and academic background, while "Software Developer Intern" focuses more on hands-on software development tasks. Both are valuable for aspiring tech professionals seeking industry experience.

What are the key skills and qualifications needed to thrive as a Computer Science Intern at a tech startup, and why are they important?

To excel as a Computer Science Intern at a tech startup, you need a solid understanding of programming fundamentals, algorithms, and data structures, usually backed by coursework or relevant projects. Familiarity with version control systems like Git, coding languages such as Python or JavaScript, and development tools commonly used in startups is expected. Strong problem-solving skills, adaptability, and effective teamwork make an intern stand out in this fast-paced environment. These abilities ensure you can quickly contribute to projects, collaborate effectively, and adapt to the dynamic needs of a growing company.
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Computer Science Internship At Tech Startup jobs near you
Machine Learning Research Scientist

Machine Learning Research Scientist

GroupSolver

San Diego, CA

Part-time

Posted 28 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.
Employment Type: PART_TIME

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