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Computer Science Internship At Tech Startup Jobs in Seattle, WA

... science interns in the areas of natural language processing, natural language generation, and deep ... technologies. YOUR RESPONSIBILITIES As Conversica's Data Scientist, you will work with other data ...

Pursuing graduation in a Computer Science, Engineering, or a related field at a community college ... Working knowledge of database technology such as SQL or NoSQL * Good Linux/Unix/Mac experience Work ...

New

Docugami is a Seattle-area document engineering startup that raised a $10M seed round of VC funding ... Studying Computer Science or Computer Engineering * Strong problem-solving and time management ...

Docugami is a Seattle-area document engineering startup that raised a $10M seed round of VC funding ... Studying Computer Science or Computer Engineering * Strong problem-solving and time management ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong product instincts & passion for social media, technology, and staying current with industry ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong product instincts & passion for social media, technology, and staying current with industry ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong product instincts & passion for social media, technology, and staying current with industry ...

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Computer Science Internship At Tech Startup information

See Seattle, WA salary details

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

As of Aug 16, 2026, the average hourly pay for computer science internship at tech startup in Seattle, WA is $26.37, according to ZipRecruiter salary data. Most workers in this role earn between $15.09 and $30.18 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 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.

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 job categories do people searching Computer Science Internship At Tech Startup jobs in Seattle, WA look for?

The top searched job categories for Computer Science Internship At Tech Startup jobs in Seattle, WA are:

Infographic showing various Computer Science Internship At Tech Startup job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $54,858 per year, or $26.4 per hour.

Data Scientist

Conversica, Inc

Seattle, WA โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate, driven, self-starting, resourceful, innovative, collaborative, and we get a lot done while having fun. If that sounds like you, then read on!
Conversica is seeking talented and passionate data scientists to help us evolve our artificial intelligence, machine learning and natural language processing systems and technologies.
YOUR RESPONSIBILITIES
As Conversica's Data Scientist, you will work with other data scientists and engineers to solve and contribute to the innovative products we are building. You will be responsible for developing, improving and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques. Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design.
JOB REQUIREMENTS
  • Experience and training in cutting-edge research in machine learning, natural language processing (NLP), text mining and computational linguistics.
  • Demonstrated success in using or (and preferably) developing machine learning models and data platforms in a production environment.
  • Training in deep learning approaches and natural language processing
  • Advanced proficiency with Python for data analysis
  • Must be fluent in either keras or tensorflow
  • Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology

EDUCATION
Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred. Ideally we would like to see someone that has been published in Natural Language Processing and Deep Neural Networks.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills & Requirements Qualifications