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

We are a team of computer vision and machine learning engineers building real-time 3D perception and spatial understanding technologies for current and future Apple products. The VCV org is a ...

We are a team of computer vision and machine learning engineers building real-time 3D perception and spatial understanding technologies for current and future Apple products. The VCV org is a ...

Senior Applied ML Engineer

Seattle, WA · Remote

$125K - $183K/yr

You will apply advanced ML techniques--ranging from computer vision to large language models--to ... This role blends research, engineering, and domain expertise to deliver practical, production-ready ...

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

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 ...

We aim to empower other developers, our users, to build many innovative applications that will help ... They also have some computer vision overlap with e.g. object detection. Prior experience with ...

... computer vision in agricultural environments * Own model optimization and deployment pipelines ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

Sr. Perception Systems Engineer, Prime Air

Seattle, WA · On-site

$118K - $162K/yr

... computer vision specialists, hardware engineers) to design and validate perception system ... architectures Lead technical reviews to ensure perception systems meet performance, safety, and ...

New

Senior Software Engineer, Video

Seattle, WA · Remote

$139K - $183K/yr

We aim to empower other developers, our users, to build many innovative applications that will help ... They also have some computer vision overlap with e.g. object detection. Prior experience with ...

... for computer vision in agricultural environments • Own model optimization and deployment ... Engineering and Product Management to scope, prioritize, and deliver high-impact features • ...

... for computer vision in agricultural environments • Own model optimization and deployment ... Engineering and Product Management to scope, prioritize, and deliver high-impact features • ...

Showing results 41-60

Computer Vision Engineer information

See Bellevue, WA salary details

$54.7K

$137.1K

$155.2K

How much do computer vision engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computer vision engineer in Bellevue, WA is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,800.00 and $148,400.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

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 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 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 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.

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 most commonly searched types of Computer Vision Engineer jobs in Bellevue, WA?

The most popular types of Computer Vision Engineer jobs in Bellevue, WA are:

What are popular job titles related to Computer Vision Engineer jobs in Bellevue, WA?

For Computer Vision Engineer jobs in Bellevue, WA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Bellevue, WA look for?

The top searched job categories for Computer Vision Engineer jobs in Bellevue, WA are:

What cities near Bellevue, WA are hiring for Computer Vision Engineer jobs?

Cities near Bellevue, WA with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Bellevue, 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 $137,147 per year, or $65.9 per hour.

Robotics Engineer - Navigation focus

General Robotics

Redmond, WA • On-site

$155K - $205K/yr

Full-time

Medical, Retirement

Re-posted 27 days ago


Job description

Robotics Engineer: Navigation focus
General Robotics is an AI research and deployment company building general robot intelligence, and we are seeking a Robotics Engineer to join our team. We conduct focused research and engineering to develop and deploy robust and performant robotic systems - we work on a variety of form factors such as aerial, wheeled, humanoid, quadruped, arms and others.
We are looking for strong candidates who have a background in robotics and machine learning, especially with experience in SLAM, robot navigation and geometric foundation models (e.g. VGGT, MapAnything, etc).
Responsibilities
  • Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models.
  • Define research goals informed by practical engineering concerns.
  • Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation).
  • Work with high fidelity simulation platforms for synthetic data generation.
  • Design data loading and training pipelines for large scale foundation model training.
  • Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results.
  • Contribute to publications and open-sourcing efforts.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Research experience in machine learning, robotics, and computer vision.
  • Experience with developing robotics algorithms or machine learning models at scale.
  • Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Desired Qualifications
  • Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Direct experience in robotics, computer vision, or machine learning research.
  • First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL).
  • Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, Mujoco, Maniskill among others.
  • Experience building efficient robotics pipelines involving sensor fusion and model inference
  • Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection.
  • Good understanding of systems considerations and the ability to factor these into model choices.

Base Salary Range
The anticipated base salary for this position is $155,000 - $205,000. Your actual pay will be based on factors such as skills, experience, and location. In addition to base salary, this role is eligible for benefits including medical, 401K and other health benefits.
Work Authorization
This role is open to candidates currently based in and authorized to work in the US.
Equal Opportunity Employer
General Robotics is an equal opportunity employer. We do not discriminate on the
basis of any status protected by applicable law.
Accommodations
If you need a reasonable accommodation during the application or interview
process, please contact: HR@GeneralRobotics.company