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Computer Science Research Intern Jobs in Seattle, WA

Point72

Quantitative Research Intern

Seattle, WA

This is an opportunity for students and researchers of advanced data modeling and statistical ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

Truveta

Research Analyst Summer Intern

Seattle, WA · On-site

$20/hr

Research Analyst Summer Intern Truveta is the world's first health provider led data platform with ... Draft and contribute to scientific manuscripts, abstracts, and reports that clearly communicate ...

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Computer Science Research Intern information

See Seattle, WA salary details

$2.4K

$7.3K

$8.9K

How much do computer science research intern jobs pay per month?

As of Jul 29, 2026, the average monthly pay for computer science research intern in Seattle, WA is $7,328.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,025.00 and $8,725.00 per month, depending on experience, location, and employer.

What does a Computer Science Research Intern do?

A Computer Science Research Intern typically assists with research projects in areas like artificial intelligence, data science, software engineering, or cybersecurity. Their responsibilities may include reviewing academic literature, designing and running experiments, analyzing data, and writing reports or research papers. Interns often collaborate with faculty members, graduate students, or research teams to solve real-world problems and contribute to new technological advancements. The experience helps interns gain practical skills, deepen their technical knowledge, and prepare for future careers in academia or industry.

What are the typical responsibilities of a Computer Science Research Intern during a project cycle?

As a Computer Science Research Intern, you’ll often be involved in conducting literature reviews, designing and implementing experiments, collecting and analyzing data, and presenting your findings to the research team. Interns frequently collaborate with senior researchers and other interns, participate in regular meetings, and may contribute to academic papers or technical documentation. This hands-on role provides valuable exposure to the research process in a professional setting, helping you build both technical and communication skills.

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

To thrive as a Computer Science Research Intern, you need a solid understanding of algorithms, data structures, programming languages (such as Python, Java, or C++), and a strong academic background in computer science or related fields. Familiarity with research tools like LaTeX, version control systems (e.g., Git), and experience with data analysis or machine learning frameworks is often required. Strong analytical thinking, curiosity, effective communication, and the ability to collaborate within a research team are highly valued soft skills. These skills and qualities enable interns to contribute meaningfully to research projects, solve challenging problems, and communicate findings clearly.
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Computer Science Research Intern jobs near you
Infographic showing various Computer Science Research Intern job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $87,940 per year, or $42.3 per hour.

Graduate/PhD Research Intern, Machine Learning

Constellation Space

Seattle, WA • On-site

$6.0K - $7.0K/mo

Full-time

Posted 17 days ago

Job description

The Role

Constellation is seeking an ambitious Graduate or PhD Research Intern to join our Data Science / AI team. You will research and develop cutting-edge machine learning models to solve complex aerospace challenges, from predictive maintenance to autonomous orbital navigation.

Responsibilities

  • Conduct independent research to design and train novel machine learning architectures.

  • Analyze massive datasets derived from flight telemetry and satellite sensors.

  • Prototyping and testing algorithms in simulated aerospace environments.

  • Publish internal papers and present findings to the core engineering team.

Requirements

  • Currently pursuing a Master's or Ph.D. in Computer Science, Aerospace Engineering, Mathematics, or a related field.

  • Strong theoretical understanding of deep learning, computer vision, or reinforcement learning.

  • Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, or JAX).

  • Ability to work on-site in Seattle for the duration of the internship.