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Computer Science Research Assistant Jobs in Bothell, WA

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

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 ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

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 ...

Microsoft

Senior Research Engineer

Redmond, WA · On-site

$117K - $160K/yr

You will participate in onboarding of other team members and assist in developing academics to be ... OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer ...

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Computer Science Research Assistant information

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$24

$35

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

As of Jun 23, 2026, the average hourly pay for computer science research assistant in Bothell, WA is $24.49, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.46 per hour, depending on experience, location, and employer.

Is it better to shut down or sleep?

For a Computer Science Research Assistant, shutting down a computer completely saves power and reduces wear on components, while sleep mode allows for quicker resume times and maintains open files. The choice depends on usage patterns; frequent short breaks may favor sleep, whereas longer periods of inactivity are better for shutdown. Both options are safe and commonly used in research environments to manage system performance and energy consumption.

What is a good inexpensive computer to buy?

For a Computer Science Research Assistant, a budget-friendly computer such as a Chromebook or entry-level Windows laptop with at least 8GB RAM and an SSD can handle basic coding, data analysis, and research tasks. Prioritizing a device with a reliable processor and sufficient storage ensures smooth performance for research activities and programming environments.

What is a Computer Science Research Assistant job?

A Computer Science Research Assistant supports professors or researchers in conducting experiments, analyzing data, and developing software or algorithms. They may assist with literature reviews, coding, debugging, or testing to advance research projects. The role often involves working with programming languages, machine learning, cybersecurity, or other specialized topics. It provides valuable experience for students or professionals looking to deepen their knowledge in the field.

What are the key skills and qualifications needed to thrive in the Computer Science Research Assistant position, and why are they important?

To thrive as a Computer Science Research Assistant, you need strong analytical skills, proficiency in programming languages (such as Python, Java, or C++), and a solid understanding of algorithms and data structures, usually evidenced by coursework or a relevant degree. Familiarity with research tools, version control systems (like Git), and possibly certifications in data analysis or machine learning are advantageous. Excellent problem-solving abilities, attention to detail, and effective written and verbal communication help individuals excel when collaborating on research projects. These competencies enable you to support rigorous research, contribute to innovative solutions, and work efficiently as part of an academic or industry research team.

What are typical duties and daily responsibilities of a Computer Science Research Assistant?

As a Computer Science Research Assistant, your daily responsibilities often include assisting with data collection and analysis, developing or testing software prototypes, conducting literature reviews, and helping prepare reports or presentations for research findings. You may also collaborate closely with faculty, graduate students, or industry partners, contributing to coding tasks, experimental setups, and troubleshooting technical issues as they arise. The role frequently involves both independent problem-solving and teamwork, providing a supportive environment to deepen technical skills and gain hands-on research experience. This position is an excellent opportunity to develop your research portfolio, learn advanced computing concepts, and prepare for potential graduate study or specialized tech careers.

What is the best home computer to buy?

As a Computer Science Research Assistant, selecting a reliable home computer depends on your workload; a high-performance PC or Mac with a multi-core processor, at least 16GB of RAM, and SSD storage is recommended for coding, data analysis, and research tasks. Consider your specific needs for software compatibility and upgradeability when choosing a model.

What is the definition of a computer?

A computer is an electronic device that processes, stores, and retrieves data according to programmed instructions. Computer Science Research Assistants often work with hardware and software components, understanding how computers perform calculations and manage information. Knowledge of computer architecture and programming languages is essential for analyzing and developing computing systems.
What job categories do people searching Computer Science Research Assistant jobs in Bothell, WA look for? The top searched job categories for Computer Science Research Assistant jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Computer Science Research Assistant jobs? Cities near Bothell, WA with the most Computer Science Research Assistant job openings:
Computer Science Research Assistant jobs near you
Infographic showing various Computer Science Research Assistant job openings in Bothell, WA as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $50,943 per year, or $24.5 per hour.
Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs

Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs

Meta

Seattle, WA • On-site, Remote

$219K/yr

Full-time

Posted 26 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies

Job description

Meta is seeking Research Scientists to join the Post-Training team within Meta Superintelligence Labs (MSL). High-quality data is the core of AI progress at MSL, fueling the complex capabilities we build, how our models reason, and how they interact with the world. As a Research Scientist, you will provide the technical vision to design, generate, and curate the critical post-training data (SFT, RLHF) that aligns and enhances our frontier AI systems. You will conduct research to develop and optimize post-training recipes that directly improve model quality.This is a highly technical research role requiring sound scientific judgment, creativity, and the ability to drive ambitious research agendas with independence. The data strategies you develop will directly influence research direction and major model lines within MSL, making data quality, methodological rigor, and clear communication important. You will collaborate closely with technical leadership to ensure our data pipelines capture the most important capabilities—ranging from expert domains (STEM, GDP-valuable tasks, finance, legal, health) to advanced agentic tasks (search, Deep Research, computer use, coding, UI generation, and shopping agents).We are looking for exceptional research talent—researchers who have shaped the field of machine learning and are ready to do so again at the frontier of AI. If you are passionate about defining how we teach and align AI systems and want to shape the scientific foundations of frontier AI development, we encourage you to apply for this exciting opportunity at the core of MSL.
Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs Responsibilities:
  • Provide scientific leadership in designing novel methodologies for post-training data collection, curation, and synthetic data generation
  • Define data quality frameworks and alignment strategies that guide capability development across MSL, particularly for complex reasoning and agentic behaviors
  • Drive the scientific vision for eliciting high-quality data in expert domains (finance, legal, health, STEM) and complex agentic trajectories (Deep Research, Computer Use, UI generation)
  • Conduct research to develop and optimize post-training recipes that directly improve model quality
  • Partner with cross-functional research teams across product and model training to identify and prioritize gaps in model capabilities
  • Lead research workstreams that shape the long-term direction of data-centric AI at MSL, working independently while also contributing to team goals and organizational priorities

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Ph.D. in Computer Science, Machine Learning, or a related technical field
  • 5+ years of experience in machine learning research, with a focus on deep learning, data alignment, NLP, or related areas
  • Demonstrated ability to lead technical research projects from conception to production
  • Collaborative communication skills and experience collaborating with technical leadership

Preferred Qualifications:
  • Multiple first-author publications at top-tier peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model alignment, synthetic data generation, RLHF, or deep learning
  • Recognized expertise in data-centric AI, post-training methodologies, or complex reasoning data
  • Track record of research that has substantially influenced the field of deep learning
  • Hands-on experience with language model post-training, RLHF, DPO, or related alignment techniques

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.
$219,000/year to $301,000/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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