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Computer Vision Research Jobs in Seattle, WA (NOW HIRING)

Key job responsibilities As a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media ...

Key job responsibilities As a highly experienced and seasoned science leader, you will apply state of the art natural language processing and computer vision research to video centric digital media ...

These roles will require research and problem-solving skills, as well as fabrication and ... PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning ...

The ideal Research Scientist candidate will use their skills in system design and modeling and ... Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience

... Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience • Experience with any of the following research areas: robotics, motion planning, embodied AI, human ...

... Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience • Experience with any of the following research areas: robotics, motion planning, embodied AI, human ...

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Computer Vision Research information

See Seattle, WA salary details

$13

$25

$42

How much do computer vision research jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for computer vision research in Seattle, WA is $25.29, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Computer Vision Research?

One of the main challenges in Computer Vision Research is dealing with the complexity and variability of real-world data, such as inconsistent lighting, occlusions, or image noise, which can make model development and testing difficult. Researchers also frequently need to stay updated with rapidly evolving algorithms and technologies while managing computational resource constraints. Collaboration with interdisciplinary teams and conveying technical findings to non-experts are important and sometimes challenging aspects of the job. Overcoming these challenges is essential for driving innovation and bringing cutting-edge vision applications to practical use.

What are the key skills and qualifications needed to thrive in the Computer Vision Research position, and why are they important?

To thrive in Computer Vision Research, you need a strong background in mathematics, machine learning, and image processing, usually supported by a graduate degree in computer science or a related field. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and experience with relevant certifications or published research is highly valued. Critical thinking, collaboration, and clear communication are essential soft skills in this role. These skills enable researchers to develop innovative solutions, share insights effectively, and drive progress in advancing computer vision technologies.

What is a Computer Vision Research job?

A Computer Vision Research job involves developing and improving algorithms that enable computers to interpret and analyze visual data from the world. Researchers in this field work on areas such as image recognition, object detection, and scene understanding using techniques from machine learning and deep learning. They experiment with datasets, design novel architectures, and publish findings to advance the state of the art in computer vision. These roles are commonly found in industries like healthcare, robotics, autonomous vehicles, and augmented reality.

What are popular job titles related to Computer Vision Research jobs in Seattle, WA? For Computer Vision Research jobs in Seattle, WA, the most frequently searched job titles are:
AI Research Scientist, VLM (vision language models)

AI Research Scientist, VLM (vision language models)

Meta

Bellevue, WA • On-site

$154K - $217K/yr

Full-time

Posted 13 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 189 rated software companies


Job description

• Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. • Work towards long-term ambitious research goals, while identifying intermediate milestones. • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. • Work with a large team. • Contribute to publications and open-sourcing efforts. • Mentor other team members. Play a significant role in healthy cross-functional collaboration. • Prioritize research that can be applied to Meta's product development.
Responsibilities
Push state of the art in multimodal generative AI
• Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants
• Mentor and work with AI/ML engineers to find a path from research to production
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• A PhD in AI, computer science, or related technical fields
• Publications in machine learning, computer vision, NLP, speech
• Experience writing software and executing complex experiments involving large AI models and datasets
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
• First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
• Direct experience in generative AI and LLM research
• Fluent in Python and PyTorch (or equivalent)
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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