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Computer Vision Jobs in Bellevue, WA (NOW HIRING)

SID Global Solutions

Computer Vision Engineer

Bellevue, WA

$125K - $148K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

SID Global Solutions

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $147K/yr

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This ...

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Computer Vision information

See Bellevue, WA salary details

$37K

$53.3K

$70.1K

How much do computer vision jobs pay per year?

As of Jun 15, 2026, the average yearly pay for computer vision in Bellevue, WA is $53,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $61,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior computer vision engineers with extensive experience, advanced skills in deep learning and image processing, and often working in high-paying industries like technology or autonomous vehicles can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

Which 3 jobs will survive AI?

Computer Vision professionals are likely to continue in roles that require complex problem-solving, creativity, and domain expertise, such as research scientists, AI system architects, and specialized engineers. These jobs involve tasks that are difficult to fully automate, especially when combined with skills in programming, machine learning frameworks, and continuous learning. Roles that emphasize human judgment and oversight are also expected to persist despite advances in AI automation.

What is a Computer Vision job?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What are some typical projects or tasks a Computer Vision professional might work on?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms.

Are there jobs in computer vision?

Yes, there are many jobs in computer vision, including roles such as computer vision engineer, researcher, and software developer. These positions often require skills in machine learning, deep learning, and programming languages like Python or C++, and may involve working with tools such as OpenCV or TensorFlow. Opportunities exist across industries like technology, automotive, healthcare, and robotics.

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

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are popular job titles related to Computer Vision jobs in Bellevue, WA? For Computer Vision jobs in Bellevue, WA, the most frequently searched job titles are:
What cities near Bellevue, WA are hiring for Computer Vision jobs? Cities near Bellevue, WA with the most Computer Vision job openings:
Computer Vision jobs near you
Infographic showing various Computer Vision job openings in Bellevue, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $53,315 per year, or $25.6 per hour.
Computer Vision Engineer

Computer Vision Engineer

SID Global Solutions

Bellevue, WA

$125K - $148K/yr

Full-time

Posted 9 days ago

Job description

Role Overview We are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This role focuses on designing, developing, and implementing advanced engineering solutions, integrating IIoT hardware, computer vision, and machine learning to improve material handling, operator workflows, and fulfillment processes. The ideal candidate has a strong background in engineering design, computer vision, and applied machine learning, with proven experience driving large-scale projects, collaborating across teams, and delivering impactful outcomes in dynamic operational environments.

Key Responsibilities Lead and manage end-to-end life cycles of complex cross-functional projects spanning organizations and geographies, ensuring delivery of impactful business outcomes. Engineering Solutions: Design and develop engineering solutions for material handling challenges, considering human-equipment interactions and operational excellence. IIoT Development: Develop, configure, and implement IIoT hardware to enhance equipment, processes, and operator workflows.

Simulation & Modeling: Collaborate with Scientists to create advanced simulation models and perform "what-if" scenario testing to drive optimal hardware and process solutions. Concept & Design Leadership: Lead concept efforts for optimal solutions including equipment specifications, material flow, ergonomics, associate experience, operational considerations, and site layout. Vendor & Stakeholder Collaboration: Partner with suppliers, vendors, and internal teams to deliver innovative solutions with scalability and efficiency.

Documentation & Standards: Ensure all solutions are documented with SOPs and/or structured change control, setting standards for engineering excellence. Multi-Project Management: Manage multiple initiatives simultaneously while influencing, negotiating, and communicating effectively with internal and external stakeholders. Thought Leadership: Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives) that set benchmarks for organizational engineering standards.

Consensus Building: Communicate complex ideas clearly, harmonize diverse perspectives, and build consensus to resolve contentious issues. Must-Have Qualifications Proven experience in computer vision (CV) and machine learning (ML) integration for real-time solutions. Strong coding skills (Python, C++, or similar) with the ability to prototype, test, and deploy ML/CV models in production environments.

Demonstrated ability to lead large-scale engineering projects or device development from concept through implementation. Hands-on experience with IIoT hardware design, configuration, and integration for operational improvements. Strong knowledge of system design, material handling, and human-machine interaction principles.

Exceptional program management, communication, and stakeholder management skills. Nice-to-Have Qualifications Advanced Python programming skills for data modelling, simulation, and rapid prototyping. Experience with system emulation and testing environments.

Strong background in cross-functional collaboration within large, fast-paced, and dynamic operational environments. Familiarity with 3D modelling, CAD tools, or hardware prototyping.

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