1

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

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 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 ...

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

... 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 • ...

LaserWeeder combines computer vision, AI, robotics, and high-powered lasers to identify weeds and ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

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 9, 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 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.
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.

Senior Computer Vision and Machine Learning Research Scientist Seattle, Washington, United Stat[...]

Axon Enterprise

Seattle, WA • On-site

$159.75 - $255.60/hr

Other

Retirement, PTO

Posted 4 days ago


Job description

Location: Seattle, Washington, United States

Join Axon and be a Force for Good.

We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company’s mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data.

At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What You’ll Do

Reports to: Director of AI Research
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

  • Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
  • Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
  • Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
  • Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings.
  • Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
  • Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products.
  • Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
  • Coach and mentor junior scientists.

What You Bring

  • PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields.
  • Proven track record of research in machine learning, computer vision or related fields.
  • Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale.
  • Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition.
  • Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
  • Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
  • Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
  • Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Fitness Programs
  • Emotional & Mental Wellness support
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

#LI-Hybrid

Base Pay Range

$159,750 — $255,600 USD

Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

#J-18808-Ljbffr