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Best Paying Computer Science Jobs in Seattle, WA

Microsoft

Senior Data & Applied Scientist

Redmond, WA · On-site

... best practices across the team. Qualifications Required Qualifications * Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related ...

Ten4

Unreal Engineer - VR/Virtual Reality

Seattle, WA · On-site

Computer Science Degree and an MS Degree preferred Qualifications * Developers and Engineers who ... Paying well for a start-up and equity offered for hired individuals! Will provide a small ...

Ten4

Unreal Engineer - VR/Virtual Reality

Seattle, WA · On-site +1

Computer Science Degree and an MS Degree preferred Qualifications * Developers and Engineers who ... Paying well for a start-up and equity offered for hired individuals! Will provide a small ...

Salesforce, Inc.

Data Science Principal

Seattle, WA · On-site

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

Salesforce

Data Science Principal

Seattle, WA · On-site

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

Meta

Computer Vision Engineer, Reality Labs

Redmond, WA · On-site

$121K - $181K/yr

... best practices, code quality standards, and technical culture within your team Minimum Qualifications • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science ...

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Best Paying Computer Science information

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$41.5K

$74.5K

$138.3K

How much do best paying computer science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for best paying computer science in Seattle, WA is $74,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $79,100.00 per year, depending on experience, location, and employer.

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

What are the key skills and qualifications needed to thrive in a best paying computer science role?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.

What are common challenges faced by professionals in high paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What is the highest paying computer science job?

The highest paying computer science jobs are often executive roles such as Chief Technology Officer (CTO) or Chief Information Officer (CIO), or specialized roles like Software Engineering Managers and Data Science Directors. These positions typically require extensive experience, advanced technical skills, and leadership responsibilities, with salaries often exceeding $150,000 annually and reaching into the high six figures or more in some industries.

What are popular job titles related to Best Paying Computer Science jobs in Seattle, WA?

For Best Paying Computer Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Best Paying Computer Science jobs in Seattle, WA look for?

The top searched job categories for Best Paying Computer Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Best Paying Computer Science jobs?

Cities near Seattle, WA with the most Best Paying Computer Science job openings:

Best Paying Computer Science jobs near you
Infographic showing various Best Paying Computer Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $74,507 per year, or $35.8 per hour.

Senior Applied Scientist, Advertiser Demand Intelligence

Microsoft

Redmond, WA • On-site

Full-time

Posted 21 days ago

Key responsibilities

  • Lead the development of AI solutions such as recommendation systems, forecasting, anomaly detection, and insight generation.

  • Partner with cross-functional teams to translate customer needs into scalable AI-powered products and ensure their successful delivery.

  • Establish evaluation frameworks to ensure the accuracy, trustworthiness, and alignment of recommendations and insights with business goals.

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

69th of 247 rated software companies

Job description

Overview
The Demand Intelligence team is building AI-powered intelligence systems that transform large-scale marketplace and advertiser signals into actionable insights, recommendations, forecasts, and automated decision support for Microsoft Advertising. By combining advanced machine learning, generative AI, and agentic technologies that continuously analyze demand, market dynamics, advertiser behavior, campaign performance, and ecosystem trends we help stakeholders identify opportunities, optimize outcomes, understand market dynamics, and make better business decisions at scale.
As a Senior Applied Scientist, you will lead the development of state-of-the-art AI solutions spanning recommendation systems, forecasting, anomaly detection, insight generation, and agentic reasoning. You will leverage LLMs, predictive modeling, retrieval systems, and modern machine learning techniques to build intelligent products that move users beyond data exploration toward automated intelligence and action. Working closely with cross-functional partners, you will drive innovations that shape the future of AI-driven decision intelligence across Microsoft Advertising.
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
  • Lead the AI and machine learning strategy for Demand Intelligence, building solutions that transform complex marketplace and advertiser signals into actionable recommendations, insights, and decision support.
  • Drive innovation in predictive intelligence, including forecasting, opportunity discovery, anomaly detection, and automated insight generation that help customers achieve better business outcomes.
  • Build and advance Generative AI and agentic experiences that help stakeholders move from data to action more effectively.
  • Partner across engineering, product, and business teams to translate customer needs into scalable AI-powered products and ensure successful delivery of high-impact solutions.
  • Raise the technical bar by providing scientific leadership, mentoring engineers and scientists, and championing best practices in experimentation, machine learning, and responsible AI.
  • Establish rigorous evaluation frameworks to ensure recommendations and insights are accurate, trustworthy, measurable, and aligned with customer and business goals.
  • Shape the future of Demand Intelligence by identifying emerging AI technologies and turning cutting-edge research into differentiated capabilities that drive competitive advantage.

Qualifications
Required Qualifications:
  • 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)
    • 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, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.

Preferred Qualifications:
  • Master'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)
    • 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.
  • 3+ years of hands-on experience developing machine learning or statistical models to solve real-world problems (in industry or academic projects), including building and validating algorithms such as regressions, classifiers, or clustering models.
  • Proven programming and data skills, including proficiency in Python and SQL, with experience working with large-scale structured and unstructured datasets.
  • Proven analytical and problem-solving skills, with the ability to work with messy data, identify trends or anomalies, and rigorously evaluate model performance.
  • Effective communication skills for presenting complex analysis in a clear manner and working collaboratively on a multidisciplinary team.
  • Experience building machine learning systems that generate actionable recommendations, or optimization guidance from large-scale business or marketplace signals.
  • Advanced Analytics: Expertise in predictive modeling, time-series forecasting, anomaly detection, or business diagnostics that drive measurable customer or business outcomes.
  • Generative AI & Agentic Systems: Experience applying LLMs, retrieval-augmented generation (RAG), AI agents, or reasoning systems to automate analysis, generate insights, explain recommendations, or support complex decision-making workflows.
  • Large-Scale Intelligence Platforms: Experience developing and deploying machine learning solutions on cloud-scale data platforms, including distributed data processing, model orchestration, experimentation, and production AI systems.

#MicrosoftAI
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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

Social media

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