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Computer Scientist Jobs in Seattle, WA (NOW HIRING)

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

$142K - $274K/yr

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics ...

Microsoft

Principal Data Scientist

Redmond, WA · On-site

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 ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

$142K - $274K/yr

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics ...

DigiPen

Adjunct Professor in Computer Science

Redmond, WA · On-site

$6.0K - $12K/mo

The Department of Computer Science at DigiPen Institute of Technology is currently seeking qualified applicants to teach CS-350 - Advanced Computer Graphics II . This course focuses on efficient ...

Microsoft

Principal Applied Scientist

Redmond, WA · On-site

$220K - $331K/yr

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K - $217K/yr

Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion • MS degree in Computer Science, Computer Vision, Robotics ...

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

Required : • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive ...

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$154K/yr

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 3+ years of experience developing and designing Computer Vision and ...

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

$160K - $261K/yr

OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics ...

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Showing results 21-40

All JobsComputer Scientist JobsComputer Scientist Jobs in Seattle, WA

Computer Scientist information

See Seattle, WA salary details

$57.5K

$126.7K

$156.5K

How much do computer scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for computer scientist in Seattle, WA is $126,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $155,900.00 per year, depending on experience, location, and employer.

What is a computer scientist?

Computer scientists are professionals who study the theory, design, development, and application of computer systems and software. They work on solving complex problems using algorithms, programming languages, and computational methods. Their work can range from developing new technologies, improving cybersecurity, creating software, to researching artificial intelligence and machine learning. Computer scientists are employed in various industries, including tech companies, research institutions, government agencies, and academia.

What are the key skills and qualifications needed to thrive as a computer scientist, and why are they important?

To thrive as a Computer Scientist, you need a strong background in mathematics, programming, and algorithm design, usually supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, C++), development tools, and version control systems is typically required, along with knowledge of specialized software or frameworks relevant to your area. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help you collaborate and present complex ideas clearly. These skills and qualifications are important for developing innovative solutions, advancing technology, and working efficiently in multidisciplinary teams.

What does a computer scientist do?

Computer scientists solve problems using technology. They write and program software, create applications for mobile devices, and develop websites. Their primary objectives are to validate and to develop mathematical models capable of computer interaction between people and other computers. They do this by running computer programs and improving computer processes and performance. Beyond working within theoretical frameworks, computer scientists can also research and focus in areas such as data structure and algorithms, information and database theory, software engineering, numerical analysis, computational complexity theory, computer graphics, programming language theory, and computer vision.

How do computer scientists typically collaborate with other departments within an organization?

Computer scientists often work closely with teams from engineering, product management, data analytics, and IT to design, implement, and optimize technological solutions. Collaboration may involve participating in cross-functional meetings, providing technical expertise to inform business decisions, and integrating software systems with other platforms. Effective communication and teamwork are key, as computer scientists must translate complex technical concepts into actionable insights for non-technical colleagues. This collaborative environment not only broadens your professional network but also enhances your problem-solving skills through exposure to diverse perspectives.

What is the difference between Computer Scientist vs Software Engineer?

AspectComputer ScientistSoftware Engineer
Required CredentialsBachelor's or higher in CS or related field; often advanced degreesBachelor's or higher in CS, Software Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, software development firms, IT departments
Employer & Industry UsageUniversities, research institutions, tech companiesSoftware development companies, startups, large corporations
Common Search & Comparison IntentUnderstanding roles, career paths, and skillsJob requirements, responsibilities, and career growth

Computer Scientists focus on theoretical foundations, algorithms, and research, often working in academia or R&D. Software Engineers design, develop, and maintain software applications in industry settings. While both roles require strong programming skills and a background in computer science, their work environments and primary objectives differ.

What are 5 careers in computer scientist?

A computer scientist can pursue careers such as software developer, data analyst, systems analyst, cybersecurity analyst, and machine learning engineer. These roles often require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or SQL. Many positions also benefit from relevant certifications and a strong understanding of computer systems and data structures.
More about Computer Scientist jobs

What are the most commonly searched types of Computer Scientist jobs in Seattle, WA?

The most popular types of Computer Scientist jobs in Seattle, WA are:

What are popular job titles related to Computer Scientist jobs in Seattle, WA?

For Computer Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Computer Scientist jobs in Seattle, WA look for?

The top searched job categories for Computer Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Computer Scientist jobs?

Cities near Seattle, WA with the most Computer Scientist job openings:

Computer Scientist jobs near you
Infographic showing various Computer Scientist job openings in Seattle, WA as of September 2026, with employment types broken down into 81% Full Time, 7% Part Time, and 12% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $126,711 per year, or $60.9 per hour.

Principal Applied Scientist

Redmond, WA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

Full-time

Re-posted 4 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

Job description

Overview
Ads Fraud Detection sits at the critical intersection of Security and Machine Learning, defending one of the largest advertising ecosystems in the world. We build and operate advanced ML systems that identify and neutralize fraudulent web traffic in real time at massive scale, protecting advertiser ROI, publisher integrity, and user trust. Our mission requires us to push the frontier of high-precision, high-recall detection while adapting continuously to an increasingly sophisticated threat landscape.
As a Principal Applied Scientist on the Microsoft Ads Fraud Detection team, you will lead the most complex and ambiguous fraud challenges: designing new anomaly detection approaches to surface emerging attacks early, building robust cross-signal correlation frameworks to define and expand fraud perimeters, and developing next-generation ML models and low-latency pipelines that stop attacks before they scale. A key expectation for this role is to architect scalable solutions end to end, ensuring detection systems remain performant, resilient, and cost-efficient as data volume, attack complexity, and business demands grow. You will also provide technical leadership across the organization by mentoring other scientists, guiding project direction, and raising the bar on scientific rigor and execution quality. You will also ensure that every solution meets production reliability requirements. Your work will directly influence platform capabilities.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Independently lead and execute multiple high-impact fraud detection initiatives, turning ambiguous problems into measurable business outcomes.
  • Develop practical, deployable machine learning (ML) solutions that operate reliably at production scale, balancing detection effectiveness, latency, resilience, operational complexity, and cost.
  • Translate scientific insights into production impact through rigorous experimentation, validation, rollout, monitoring, and continuous optimization under real-world operating constraints.
  • Apply advanced ML methods-including anomaly detection, cross-signal analysis, large language models (LLMs), and other modern AI techniques-with clear evaluation frameworks, robust tests, and success metrics to deliver reliable, scalable, production-ready solutions.
  • Drive technical collaboration across science, engineering, ads, security, and privacy teams to operationalize research and deliver end-to-end fraud detection capabilities.
  • Raise the technical bar through mentorship, scientific rigor, responsible AI practices, and high standards for quality, reliability, and governance.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field ]
  • 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
    5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
    2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
    5+ years experience conducting research as part of a research program (in academic or industry settings).
    3+ years experience developing and deploying live production systems, as part of a product team.
    3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
  • Extensive industry experience delivering machine learning solutions to production, including technical leadership in complex, ambiguous problem spaces.
  • Proven track record architecting scalable ML systems and low-latency decision pipelines that operate reliably and cost-efficiently at web scale.
  • Deep expertise in several of the following areas: statistical machine learning, anomaly detection, fraud and risk modeling, deep learning, large-scale data mining, and causal inference.
  • Demonstrated ability to set technical direction, influence cross-functional partners, and drive multi-year strategy across research and engineering teams.
  • Solid software engineering and system design skills, including model operationalization, experimentation frameworks, and production quality standards.
  • Experience mentoring and developing scientists, with a history of raising scientific rigor and execution quality across teams.
  • Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into business impact.
  • Research impact through publications, patents, or significant internal innovations in fraud detection, anomaly detection, or related ML domains.

#MicrosoftAI #Fraud #risk #ML #copilot
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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