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

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 • PhD degree in Computer Science, Computer Vision, Robotics ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... learning, computer vision, statistics, causal inference, and other related disciplines

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... learning, computer vision, statistics, causal inference, and other related disciplines

Walmart

Director- Data Science

Bellevue, WA

$156K - $312K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

DevSelect

Principal Data Scientist

Redmond, WA · On-site

PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field * Knowledge of machine learning and data mining techniques in one or ...

DevSelect

Principal Data Scientist

Redmond, WA · On-site

PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field * Knowledge of machine learning and data mining techniques in one or ...

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All JobsPhd Computer Science JobsPhd Computer Science Jobs in Seattle, WA

Phd Computer Science information

See Seattle, WA salary details

$64.3K

$94.6K

$111.5K

How much do phd computer science jobs pay per year?

As of Jul 7, 2026, the average yearly pay for phd computer science in Seattle, WA is $94,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $106,400.00 per year, depending on experience, location, and employer.

Is a PhD worth it for CS?

A PhD in Computer Science can lead to careers in academia, research, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation, but may not be necessary for most industry jobs that prioritize skills and experience. The decision depends on career goals and the value placed on research and academic credentials.

What are some common challenges faced by PhD Computer Science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is the salary of a computer PhD?

A computer science PhD typically earns between $80,000 and $150,000 annually, depending on the industry, location, and experience level. Academic roles may have lower salaries, while industry positions in tech companies tend to offer higher compensation, often including bonuses and stock options.

What is a PhD in Computer Science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in Computer Science, and why are they important?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

Which CS has the highest salary?

In computer science, roles such as machine learning engineers, data scientists, and AI specialists tend to have the highest salaries due to high demand for expertise in artificial intelligence and data analysis. Senior positions with advanced skills in programming, algorithms, and cloud computing typically command top compensation, especially in tech hubs and large organizations.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.
What are popular job titles related to Phd Computer Science jobs in Seattle, WA? For Phd Computer Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Seattle, WA look for? The top searched job categories for Phd Computer Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Phd Computer Science jobs? Cities near Seattle, WA with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Seattle, WA as of July 2026, with employment types broken down into 77% Full Time, 8% Part Time, and 15% Contract. Highlights an 77% In-person, 15% Hybrid, and 8% Remote job distribution, with an average salary of $94,580 per year, or $45.5 per hour.
Applied Science: PhD Microsoft AI Internship Opportunities - Redmond

Applied Science: PhD Microsoft AI Internship Opportunities - Redmond

Microsoft

Redmond, WA • On-site

$8.9K - $14K/mo

Full-time, Internship

Posted 27 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

55th of 202 rated software companies

Job description

Overview
Bring your passion for innovation and research to a team at the forefront of artificial intelligence and machine learning. If you're eager to make significant contributions across user engagement, intelligent experiences, and real product scenarios, this opportunity within Microsoft AI Content and Commerce, Search Fundamentals, and Search Place will excite you.
As an Applied Scientist PhD Intern, you will apply your expertise in areas such as supervised and unsupervised learning, deep learning (especially transformers and sequence modeling), reinforcement learning for optimizing user outcomes, and advanced data science techniques. You'll translate complex business challenges-spanning search, personalization, natural language processing, computer vision, and recommendation systems-into practical, impactful solutions using Azure and other cloud-based technologies. Your experience with statistical analysis, hypothesis testing, large datasets, and deploying robust data pipelines will be valued as you drive research into production.
This role allows you to shape the future of Copilot and intelligent content, influencing Microsoft's direction as you directly support our overarching mission and vision.
At Microsoft, our mission to empower every person and every organization on the planet to achieve more guides how we partner with customers to deliver trusted, impactful solutions. With a growth-mindset culture, we innovate responsibly and measure success by shared progress, people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.
Please note this application is only for internships based in our Redmond, Washington office. For internships in other offices in the United States, please see our Careers site.
Responsibilities
  • Analyze and improve advanced machine learning algorithms and systems at scale, optimizing performance across large, complex datasets.
  • Translate product scenarios and user needs into applied ML problems; design and execute experiments to validate, iterate, and optimize solutions.
  • Develop and scale models for search, ranking, recommendations, retrieval, and language understanding using modern AI techniques (e.g., deep learning, reinforcement learning, probabilistic methods).
  • Prepare, clean, and curate high-quality datasets-identifying data quality issues, defining inclusion criteria, and enabling robust feature development.
  • Build and enhance data and ML pipelines (data collection, preparation, modeling), applying statistical methods to validate assumptions and evaluate model performance.
  • Collaborate cross-functionally with scientists, engineers, and product stakeholders to iterate on ideas and deliver real-world, product-integrated solutions.
  • Communicate technical insights and experimental results clearly, while continuously incorporating emerging research, tools, and industry trends to improve solution quality and efficiency.

Qualifications
Required Qualifications
  • Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Artificial Intelligence, Electrical or Computer Engineering, or related field.
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship.
  • Candidate must be enrolled in a full time PhD program in area relevant for the role during the academic term immediately before their internship.

Preferred 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)
    • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • Equivalent experience.
  • Explore product challenges using state of the art solutions.
  • Research publications, coursework, or project experience relevant to search, language models, recommender systems, geospatial or location intelligence, or content and commerce systems.
  • Experience running controlled experiments and interpreting offline and online evaluation metrics.
  • Familiarity with large-scale distributed systems or productionizing applied science solutions.
  • Passion for building AI experiences that improve relevance, discovery, personalization, and end-user satisfaction.

The base pay range for this internship is USD $6,810.00 - $13,480.00 per month. 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 $8,920.00 - $14,610.00 per month.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-intern-pay
Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar
(September - April)
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

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