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

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

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

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

Masters or PhD degree in Computer Science, Computer Vision, Robotics, or a related technical field * Publication track record at conferences such as SIGGRAPH, CVPR, NeurIPS, ECCV, ICCV, ISMAR, ICML ...

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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Phd Computer Science information

See Seattle, WA salary details

$64.3K

$94.6K

$111.6K

How much do phd computer science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for phd computer science in Seattle, WA is $94,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,200.00 and $106,500.00 per year, depending on experience, location, and employer.

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?

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.

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.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

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 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:

Infographic showing various Phd Computer Science job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $94,633 per year, or $45.5 per hour.

Research Scientist - Auditory Perception (PhD)

Computationalaudiology

Redmond, WA • On-site

$140 - $230/hr

Other

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


Job description

Research Scientist - Auditory Perception (PhD)

Reality Labs Research (RLR) brings together a world-class team of researchers, developers, and engineers to create the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. The audio team within RLR is looking for an experienced, innovative hearing research scientist with a specialty in machine learning to join our growing team in Redmond, WA. You will be leading and conducting research on spatial audio perception, quality, and modeling as part of a growing team of scientists, researchers, post‑docs, and PhD student interns.


Responsibilities

  • Conduct research to advance the science and technology of audio perception

  • Develop training/validation/testing pipelines to generate robust models for high-dimensional spatial audio and/or human auditory perception

  • Design and conduct listening tests and other perceptual experiments with human participants

  • Develop novel computational approaches to solve complex research problems in the areas of spatial audio and/or human auditory perception

  • Collaborate with and support other research scientists and engineers within the audio team and the larger RLR organization

  • Influence progress of relevant research communities by producing publications

  • Contribute research that can be applied to Meta product development

  • Lead and collaborate on research projects with external academic groups to advance our research goals


Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

  • Currently has, or is in the process of obtaining, a PhD in Experimental Psychology, Audio Engineering, Acoustics, Machine Learning, Computer Science, Computer Engineering, Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception or a related field

  • 2+ years experience with development and implementation of audio processing methods

  • 3+ years experience with scientific programming languages such as MATLAB Python, C++, or similar

  • Experience with implementing Neural networks or Active learning or Deep Bayesian learning or Gaussian Process models or related approaches

  • Proven track record of communicating research in an academic or industrial setting

  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment


Preferred Qualifications

  • Experience with audio signal processing applied to spatial audio

  • Experience with auditory perception

  • Experience with building computational models on acoustic datasets

  • Proven track record of achieving significant results and innovation as demonstrated by first-authored publications and/or patents


About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.


Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy‑related support. If you need support, please reach out accommodations-ext@fb.com.

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