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Best Paying Computer Science Jobs in Seattle, WA

Microsoft

Applied Scientist

Redmond, WA · On-site

Follow responsible AI, privacy, security, and data governance best practices throughout the model ... OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer ...

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 ...

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

... and best practices to platform problems. Qualifications Required/Minimum Qualifications: * Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or ...

Amazon

Applied Scientist II - AMZ9971140

Seattle, WA · On-site

$153K - $193K/yr

... and best practices for building reliable automated reasoning systems. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a ...

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Best Paying Computer Science information

See Seattle, WA salary details

$41.5K

$74.5K

$138.3K

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

As of Aug 16, 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 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 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 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 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 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $74,507 per year, or $35.8 per hour.

Applied Scientist

Microsoft

Redmond, WA • On-site

Full-time

Re-posted 11 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies

Job description

Overview
The Copilot Search Multimedia Index Selection team is looking for a Data and Applied Scientist II to help build the next generation platform for Bing and Microsoft AI.Our mission is to construct the most comprehensive, rich, clean, diverse, and fresh image index that serves as the foundation for image-related experiences across Microsoft. We develop advanced AI and machine learning solutions for image content discovery, selection, ranking, and processing to improve the quality and relevance of our multimedia products.Maintaining a comprehensive, diverse, and up-to-date image index presents unique technical challenges. We continuously innovate to improve quality, scalability, and efficiency while supporting billions of images and balancing performance, freshness, cost, and latency requirements.Some of the key challenges you will work on include:Image Content Discovery: Developing approaches to efficiently discover and understand image content across the web.Machine Learning for Selection and Ranking: Building, training, and evaluating machine learning, deep learning, and multimodal models for content understanding, selection, and ranking using both text and image signals.Freshness and Real-Time Systems: Contributing to data pipelines and models that support near real-time indexing and content freshness.AI-Powered Platform Innovation: Exploring and implementing new AI capabilities that improve platform intelligence and operational efficiency.This is an exciting opportunity for someone who enjoys solving challenging technical problems using data, machine learning, and AI. In this role, you will collaborate closely with scientists, engineers, and product teams to develop and deploy production-ready solutions. You will conduct experiments, analyze large-scale data sets, build and evaluate machine learning models, and translate insights into impactful improvements for Microsoft AI products.As a Data and Applied Scientist II, you will apply statistical, machine learning, and deep learning techniques to analyze and interpret multimodal content, develop features and models that improve system capabilities, and help scale AI solutions to large-volume production environments. You will contribute to advancing state-of-the-art approaches while delivering measurable impact to products used by millions of customers.
Responsibilities
  • Develop expertise in relevant machine learning, deep learning, and multimodal AI techniques, and apply them to solve challenging problems in image indexing, content understanding, selection, and ranking.
  • Partner with scientists, engineers, and product managers to understand business and product requirements, translate them into data-driven solutions, and deliver measurable product impact.
  • Design, implement, and evaluate machine learning and deep learning models, including Large Language Models (LLMs), Small Language Models (SLMs), and multimodal models for document understanding, content discovery, parsing, clustering, selection, and ranking.
  • Conduct large-scale data analysis and experimentation to identify opportunities for improving image index quality, freshness, relevance, and diversity.
  • Develop robust evaluation methodologies and analyze experiment results to drive model improvements and support data-informed decision making.
  • Contribute to near real-time indexing systems and AI-powered platform capabilities that improve multimedia content discovery and user experiences.
  • Work with petabyte-scale datasets and Big Data technologies to build, validate, and optimize machine learning solutions for production environments.
  • Document experiments, model performance, methodologies, and key learnings, and communicate findings effectively with teammates and stakeholders.
  • Follow responsible AI, privacy, security, and data governance best practices throughout the model development lifecycle.
  • Collaborate across Microsoft with engineers, scientists, and product teams to develop, deploy, and operate scalable AI solutions that serve billions of multimedia documents.
  • Stay current with advancements in machine learning, deep learning, generative AI, and multimodal systems, and apply relevant innovations to improve product capabilities.
  • Contribute to the delivery of state-of-the-art models and data-driven features that enhance the Microsoft AI Multimedia Index platform.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • OR equivalent experience.

Preferred Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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.
  • Solid machine learning / computer vision / natural language processing experience and results in academy or industry. Publications in major ML/IR/NLP/CV conferences. Examples: ICML, NIPS, SIGIR, ACL, EMNLP, CVPR, KDD.
  • Experience in open source (spark, hbase, hadoop etc) or microsoft internal tech (cosmos, autopilot, azure) are big plus as well as most of our project/scenario is across system and AI areas.
  • Good communication skills and ability to work in collaborative environment.
  • Good design and problem-solving skills and an ability to innovate and solve challenging technical problems.
  • Passion and self-motivation.
  • Embrace engineering excellence and delivering quality results at scale.

#MicrosoftAI
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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.

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About Microsoft

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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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