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

Apple

Machine Learning Engineer

Seattle, WA

$171K - $302K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

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Computer Vision Engineer information

See Seattle, WA salary details

$55.2K

$138.3K

$156.5K

How much do computer vision engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for computer vision engineer in Seattle, WA is $138,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $149,600.00 per year, depending on experience, location, and employer.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs
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What job categories do people searching Computer Vision Engineer jobs in Seattle, WA look for? The top searched job categories for Computer Vision Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Computer Vision Engineer jobs? Cities near Seattle, WA with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Sr. Computer Vision and Machine Learning Engineer, Creator Studio

Sr. Computer Vision and Machine Learning Engineer, Creator Studio

Apple

Seattle, WA • On-site

$139K - $183K/yr

Other

Posted 10 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Weekly Hours: 40

Role Number: 200653242-3337

Summary

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight pros and enthusiasts alike.

As a Senior Computer Vision & Machine Learning Engineer, you will work alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!

Description

We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi-modal image editing. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.

Minimum Qualifications

  • MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies.

  • Extensive knowledge in theory and practice of machine learning and deep learning techniques, particularly multimodal LLMs, Mixture of Experts, PEFT, RLHF.

  • Experience delivering customer-facing products with computer vision, computational photography or generative AI features.

  • Hands-on experience building, evaluating, and deploying vision LLMs or instruction-following image editing models.

  • Experience contributing to large codebases while delivering high-quality software at scale.

  • Strong programming skills in high-level languages like Python and one of the deep learning toolkits such as PyTorch, JAX, or TensorFlow.

  • Ability to collaborate effectively across organizations and drive alignment in large cross-functional projects.

  • Ability to concisely communicate with audiences of different backgrounds, from non-technical individuals to experts in the field.

  • Committed to encouraging an open and inclusive work environment.

Preferred Qualifications

  • Experience optimizing models and algorithms that run efficiently on resource-constrained platforms.

  • Experience with flow matching and multi-modal conditioning for generative modeling.

  • Knowledge of and keen interest in the art and science of photography and aesthetics.

  • Publications at major conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR).

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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