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Computer Information Science Jobs in Seattle, WA

... Computer Science, Computer Engineering, relevant technical field, or equivalent practical ... genetic information, political views or activity, or other applicable legally protected ...

Computer Vision Engineer

Seattle, WA · On-site

$160K - $275K/yr

A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU ... If you would like more information about how your data is processed, please contact us.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: ...

Computer Vision Engineer

Seattle, WA · On-site +1

$160K - $275K/yr

A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU ... If you would like more information about how your data is processed, please contact us. apply for ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics ...

New

Bachelor's degree in Information Technology, Computer Science, or a related field; advanced degree (MS or MBA) preferred. * 10-12+ years of progressive IT experience, including 3-5+ years in an ...

Bachelor's degree in Information Technology, Computer Science, or a related field; advanced degree (MS or MBA) preferred. * 10-12+ years of progressive IT experience, including 3-5+ years in an ...

This internship is ideal for students pursuing careers in Information Technology, Computer Science, or related technical fields who are eager to gain practical, hands-on experience supporting ...

CIS Adjunct

Bremerton, WA · On-site

$1.0K/wk

Business & Technology Opening Date: 02/12/2024 Description Computer Information Systems (CIS ... Applied Science in Information Systems. Essential Functions * Prepare and teach a wide range of ...

Showing results 41-60

Computer Information Science information

See Seattle, WA salary details

$6

$48

$73

How much do computer information science jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for computer information science in Seattle, WA is $48.63, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $58.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer information science professional?

To thrive as a Computer Information Science professional, you need a solid understanding of programming, systems analysis, algorithms, and database management, usually supported by a degree in computer science or a related field. Familiarity with technical tools such as SQL, Python, Java, and systems like Linux, as well as certifications like CompTIA, CISSP, or AWS, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in collaborative, innovative environments. These competencies are crucial for designing robust solutions, ensuring system reliability, and facilitating teamwork in the technology sector.

What are some typical challenges faced by professionals in computer information science roles, and how can they be addressed?

Professionals in Computer Information Science often encounter challenges such as rapidly evolving technologies, balancing multiple project deadlines, and ensuring robust cybersecurity. Staying current through continuous learning and professional development is essential to keep up with new programming languages, frameworks, and security protocols. Effective collaboration with cross-functional teams, clear communication, and strong problem-solving skills can help manage workloads and address technical issues efficiently. Additionally, leveraging mentorship and networking within the field can provide valuable insights and support.

What is the difference between Computer Information Science vs Computer Science?

AspectComputer Information ScienceComputer Science
CredentialsBachelor's degree often in CIS or related fieldsBachelor's or higher in CS or related fields
Work EnvironmentIT departments, tech support, systems administrationSoftware development, algorithms, research
Industry UsageBusiness, healthcare, government, educationTech companies, academia, research labs
Common Search IntentIT roles, systems management, network administrationSoftware engineering, programming, algorithms

Computer Information Science focuses on applying computing technology in practical settings like IT support and systems management, while Computer Science emphasizes software development, algorithms, and theoretical foundations. Both fields share similar credentials but differ in their primary work environments and industry applications.

What is computer information science?

Computer information science is a field that focuses on the study of how computer systems and technology are used to manage, process, and store information. It combines elements of computer science, information technology, and data management. Professionals in this field design and implement systems that help organizations organize, secure, and analyze data efficiently. The discipline also covers topics such as software development, database management, networking, and cybersecurity.
What are popular job titles related to Computer Information Science jobs in Seattle, WA? For Computer Information Science jobs in Seattle, WA, the most frequently searched job titles are:
Infographic showing various Computer Information Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $101,145 per year, or $48.6 per hour.

Computer Vision Engineer, Reality Labs

Meta

Redmond, WA • On-site

$154K - $217K/yr

Full-time

Re-posted 12 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies


Job description

The Reality Labs organization is helping more people around the world come together and connect through Augmented and Virtual Reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, RL is committed to advancing the state of the art through ongoing research and development. The potential to change the world is immense - and we're just getting started. Our Mixed Reality (XR) organization is focused on cutting-edge research and development of machine perception technologies from early concepts to production level across all of Facebook's AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capacity across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial, Calibration and more. In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization and human interaction. As well there are opportunities to collaborate with researchers in Reality Labs (RL) and Facebook AI Research (FAIR).
Responsibilities
Design and develop novel factory and online calibration algorithms for sensors and displays. Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
• Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
• Participate in cutting edge research in computer vision that can be applied to AR/VR product development
• Define projects for other engineers to achieve impact based on your direction
• Contribute to engineering best practices, code quality standards, and technical culture within your team
Minimum Qualifications
• 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 Perception algorithms for Robotics technologies and systems
• Experience engineering in C++
• Prototyping and engineering experience in at least ONE relevant specialization area in Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
• MS degree in Computer Science, Computer Vision, Robotics or a related technical field
Preferred Qualifications
• Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, RSS, ICRA, IROS, etc
• Industry experience working on projects such as: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
• PhD degree in Computer Science, Computer Vision, Robotics or a related technical field
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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