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Machine Vision Software Engineer Jobs in Redmond, WA

Microsoft

Software Engineer

Redmond, WA · On-site

$133K - $219K/yr

Experience with AI-assisted development, copilots, machine learning services, prompt engineering ... Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 ...

Meta

Software Engineer, Machine Learning

Seattle, WA

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Meta

Software Engineer, Machine Learning

Bellevue, WA

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Amazon

Software Engineer, EC2 Nitro

Seattle, WA · On-site

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Starcloud

Software Engineer

Redmond, WA

$160K - $210K/yr

As a Software Engineer at Starcloud, you will play a pivotal role in designing, developing, and ... Comprehensive medical, vision, and dental coverage. * 401(k) retirement plan with company match.

AIM

Senior Software Engineer

Seattle, WA · On-site

$139K - $183K/yr

We transform heavy machinery--bulldozers, loaders, excavators--into AI-powered fleets that operate ... Competitive compensation, equity, medical/dental/vision, 401(k), life insurance. * Travel ...

Belva.ai

Software Engineer II

Bellevue, WA · On-site

As a Software Engineer II, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in ...

Helion Energy

Software Engineer, Plant Control

Everett, WA · On-site

$185K - $240K/yr

Our vision is a world with clean, reliable, and affordable energy for everyone. Since Helion ... Build reliable tools for monitoring machine health, system performance, test execution, and plant ...

Cowboy Space Corp.

Flight Software Engineer

Seattle, WA · On-site

$200 - $250/hr

Design, develop, and test flight software in Rust for attitude and pointing state machines, command ... and vision insurance * 401(k) retirement savings plan * Paid time off * 10 paid holidays per ...

Aetherflux

Flight Software Engineer

Seattle, WA · On-site

$200K - $250K/yr

Design, develop, and test flight software in Rust for attitude and pointing state machines, command ... and vision insurance * 401(k) retirement savings plan * Paid time off * 10 paid holidays per ...

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Showing results 21-40

All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in Redmond, WA

Machine Vision Software Engineer information

See Redmond, WA salary details

$71.1K

$165.2K

$230.1K

How much do machine vision software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for machine vision software engineer in Redmond, WA is $165,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,400.00 and $193,800.00 per year, depending on experience, location, and employer.

What does a machine vision software engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges machine vision software engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a machine vision software engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

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

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

What are popular job titles related to Machine Vision Software Engineer jobs in Redmond, WA?

For Machine Vision Software Engineer jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Machine Vision Software Engineer jobs in Redmond, WA look for?

The top searched job categories for Machine Vision Software Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Machine Vision Software Engineer jobs?

Cities near Redmond, WA with the most Machine Vision Software Engineer job openings:

Machine Vision Software Engineer jobs near you
Infographic showing various Machine Vision Software Engineer job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $165,219 per year, or $79.4 per hour.

Software Engineer Leadership, Machine Learning RecSys

Meta

Bellevue, WA • On-site, Remote

$219K/yr

Full-time

Re-posted 14 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products, with the mission of connecting billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer Leadership, Machine Learning RecSys Responsibilities:
  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies Develop reusable software components for interfacing with back-end platforms Analyze and optimize code for quality, efficiency, and performance Lead complex technical or product efforts and provide technical guidance to peers Architect efficient and scalable systems that drive complex applications Identify and resolve performance and scalability issues Work on a variety of coding languages and technologies Establish ownership of components, features, or systems with expert end-to-end understanding

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience in software engineering, or a relevant field. 3+ years of experience if you have a PhD
  • 3+ years of experience in one or more of the following areas: machine learning, recommendation systems, artificial intelligence, or related technical field
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience leading major initiatives successfully, Proven ability to set technical direction and influence product strategy
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Hands-on experience working with large language models (LLMs), such as BERT, GPT, or similar architectures, including fine-tuning, integration, or application in production environments
  • Experience building and shipping high quality work and achieving high reliability
  • Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions
  • Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects

Preferred Qualifications:
  • Masters degree or PhD in Computer Science or a related technical field
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as Pytorch and TF
  • Publications in top-tier conferences/journals, patents, or open-source contributions in the recommendations or LLM space
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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