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Summer Computer Science Research Assistant Jobs in Seattle, WA

RL has global departments dedicated to research and development in computer vision, machine ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

RL has global departments dedicated to research and development in computer vision, machine ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

These roles will require research and problem-solving skills, as well as fabrication and ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

The ideal Research Scientist candidate will use their skills in system design and modeling and ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

With global departments dedicated to research and development in computer vision, machine learning ... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ...

... the summer. Additional Responsibilities * Research and prototype ways to apply LLMs to firmware ... Currently pursuing a master's or PhD in Computer Science, Computer Engineering, Electrical ...

Showing results 41-60

Summer Computer Science Research Assistant information

See Seattle, WA salary details

$9

$24

$36

How much do summer computer science research assistant jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for summer computer science research assistant in Seattle, WA is $24.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $28.99 per hour, depending on experience, location, and employer.

What types of projects do summer computer science research assistants typically work on, and how much independence can I expect in the role?

Summer Computer Science Research Assistants often contribute to ongoing faculty-led research projects, which may range from developing algorithms and analyzing datasets to building prototypes or conducting experiments in areas like machine learning or human-computer interaction. While you will receive guidance from a supervising researcher or graduate student, you are often encouraged to take initiative, propose ideas, and manage specific project tasks independently. The balance between supervision and independence will depend on the project's complexity, your experience level, and the research group's structure, but most programs aim to provide a supportive environment that fosters both learning and autonomy.

What is a summer computer science research assistant?

Summer Computer Science Research Assistants are typically undergraduate or graduate students who work with faculty or research teams during the summer months to contribute to ongoing computer science research projects. Their responsibilities may include coding, data analysis, literature reviews, and helping to design or run experiments. This position offers hands-on experience in the research process and exposure to advanced topics in computer science. It is an excellent opportunity for students interested in pursuing graduate studies or careers in research and development. Assistants often gain valuable mentorship and may even co-author publications or present findings.

What is the difference between Summer Computer Science Research Assistant vs Summer Data Science Intern?

AspectSummer Computer Science Research AssistantSummer Data Science Intern
Required CredentialsUndergraduate or graduate in CS or related fieldUndergraduate or graduate in Data Science, Statistics, or related field
Work EnvironmentAcademic or research labs, university settingsCorporate, tech companies, or research organizations
Employer & Industry UsageUniversities, research institutions, government labsTech firms, startups, data-driven companies
Common Search & ComparisonYesNo

The Summer Computer Science Research Assistant typically focuses on academic research projects, often within university labs, emphasizing theoretical and experimental computer science. In contrast, a Summer Data Science Intern usually works on practical data analysis, modeling, and business insights within industry settings. Both roles require strong technical skills, but their environments and objectives differ significantly.

What are the key skills and qualifications needed to thrive as a summer computer science research assistant, and why are they important?

To thrive as a Summer Computer Science Research Assistant, you need a solid understanding of programming concepts, data structures, and algorithms, usually supported by coursework or a degree in computer science or a related field. Familiarity with research tools, coding languages like Python or Java, and version control systems such as Git are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with researchers and present findings clearly. These skills are vital to contribute meaningfully to research projects, solve technical problems, and communicate results within a team environment.
What job categories do people searching Summer Computer Science Research Assistant jobs in Seattle, WA look for? The top searched job categories for Summer Computer Science Research Assistant jobs in Seattle, WA are:
Infographic showing various Summer Computer Science Research Assistant 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 $51,861 per year, or $24.9 per hour.

AI Research Scientist, CoreML - Monetization

Meta

Bellevue, WA

$184K/yr

Full-time

Re-posted 29 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies


Job description

Meta’s Monetization pillar is at the cutting edge of delivering highly personalized ads that create maximum value for both users and advertisers. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects—true moonshots—with the potential to redefine Meta’s monetization strategies. By consistently pushing the boundaries of what’s possible, we deliver breakthrough innovations that not only advance Meta’s business objectives but also result in publications at top-tier conferences.Inspired by recent breakthroughs in large language models (LLMs), the RAI Sequence Learning team is pioneering a transformative approach to recommender systems. We are reimagining recommendation as a generative sequence modeling problem, moving beyond traditional methods that treat recommendations as classification tasks on pairs. Instead, our approach models user and ad content, as well as historical interaction data, as sequences—unlocking new possibilities for personalization and relevance.As a research scientist on this team, you will play a pivotal role in shaping the future of technology and business at Meta, especially as we enter the era of artificial general intelligence (AGI). Your contributions will directly influence the trajectory of Meta’s monetization strategies and help define the next generation of recommender systems.
AI Research Scientist, CoreML - Monetization Responsibilities:
  • Extracting meaningful signals from both 1st-party and 3rd-party data sources
  • Advancing representation learning
  • Scaling solutions to efficiently process hundreds of billions of data points
  • Driving continuous algorithmic innovation
  • Seamlessly productionizing research breakthroughs all while optimizing serving costs

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science, Machine Learning, or a relevant technical field
  • 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training
  • Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
  • Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments
  • First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
  • Experience in pre-training, post-training, fine-tuning models
  • Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding (user behavior, user interaction)
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
  • Willing to collaborate with others in a productive, interdisciplinary environment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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