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Computer Science Research Jobs in Seattle, WA (NOW HIRING)

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 ...

Amazon

Applied Scientist III - AMZ9674037

Seattle, WA · On-site

$167K - $226K/yr

Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$154K - $217K/yr

... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ... research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$219K - $301K/yr

... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ... research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$184K - $257K/yr

The ideal Research Scientist candidate will leverage their practical expertise in robot foundation ... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ...

Meta

Research Engineer, Monetization AI

Redmond, WA

$121K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Research experience in machine learning, deep learning, and/or recommender ...

Meta

Research Engineer, Monetization AI

Seattle, WA · On-site

$121K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Research experience in machine learning, deep learning, and/or recommender ...

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Computer Science Research information

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How much do computer science research jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for computer science research in Seattle, WA is $25.29, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.07 per hour, depending on experience, location, and employer.

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

Success in Computer Science Research requires a solid background in computer science theory, algorithms, mathematics, and typically a graduate degree such as a Master's or Ph.D. in a relevant field. Familiarity with programming languages (such as Python, Java, or C++), research tools (e.g., MATLAB, TensorFlow), and publishing research in peer-reviewed venues is highly valuable. Strong analytical thinking, problem-solving, written communication, and collaboration skills allow researchers to effectively explore novel ideas and present their findings. These competencies are critical for advancing technology, contributing original research, and working effectively in academic or industry research environments.

What is a Computer Science Research job?

A Computer Science Research job involves investigating fundamental and applied problems in computing to develop new algorithms, technologies, or theories. Researchers work in academia, industry, or government labs, focusing on areas such as artificial intelligence, cybersecurity, and data science. They conduct experiments, publish findings, and collaborate with other experts to advance the field.

What are the typical daily responsibilities of someone working in Computer Science Research?

Professionals in Computer Science Research spend their days designing and conducting experiments, analyzing data, reviewing current literature, and developing new algorithms or models. They often collaborate with cross-functional teams, including other researchers, engineers, and sometimes product managers, to advance the understanding or application of emerging technologies. A significant portion of their work also involves writing and presenting research papers, prototyping solutions, and occasionally mentoring students or junior team members. The role is dynamic and involves both independent investigation and teamwork to solve complex technical problems.

What are the most commonly searched types of Computer Science Research jobs in Seattle, WA? The most popular types of Computer Science Research jobs in Seattle, WA are:
What are popular job titles related to Computer Science Research jobs in Seattle, WA? For Computer Science Research jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Science Research jobs in Seattle, WA look for? The top searched job categories for Computer Science Research jobs in Seattle, WA are:
Computer Science Research jobs near you

Principal, Data Science & Analytics

Microsoft AI

Redmond, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Microsoft AI (MAI) builds an integrated consumer AI ecosystem focused on delivering trustworthy experiences. The Partner, Data Science & Analytics will lead ecosystem data science, own measurement strategy, and ensure high-quality metrics and data-driven decisions.
Responsibilities:
• Leadership: Mentor data scientists and align work with MAI ecosystem goals, driving technical excellence, innovation, and cross-team collaboration.
• Data Strategy & Execution: Develop ecosystem data strategies for marketplace and system performance, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
• Advanced Analytics & Measurement: Apply machine learning, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business value across products and marketplace components.
• Experimental Design & Implementation: Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.
• Collaboration: Partner closely with product, program management, engineering, and business teams to integrate data science solutions into shared platforms and marketplace operations.
• Performance Optimization: Identify cross-team opportunities for product and process improvement; implement data-driven solutions to improve efficiency, reliability, and user experience.
• Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.
• Technical & Operational Leadership: Develop and standardize processes for data acquisition, quality, and operationalizing ML models; provide expert review of analysis and modeling; lead adoption of new tools and technologies to improve availability, reliability, efficiency, and performance.
• Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a solid customer focus; act as a trusted advisor across the ecosystem.
Qualifications:
Required:
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
Preferred:
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
Company:
Microsoft AI is a software development company. Founded in 2024, the company is headquartered in Redmond, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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