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Entry Level Computer Vision Engineer Jobs in Seattle, WA

MORSE Corp

Machine Learning Engineer

Seattle, WA · On-site

$90K - $210K/yr

Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object ... D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or ...

Trunk Tools

MBA/BS Intern - Vision AI

Redmond, WA

$45/hr

Collaborate with engineers designing and implementing computer vision models and pipelines for image classification, object detection, segmentation, and scene understanding; comprehend platform ...

3MD Inc.

Automation Applications Engineer

Redmond, WA · On-site

$130K - $140K/yr

The Automation Applications Engineer involves the installation, maintenance, and troubleshooting of automation systems, with a focus on machine and computer vision technologies. The Automation ...

Ardurra

Entry-Level Civil Engineer

Everett, WA · On-site

As an Entry-Level Civil Engineer , you'll work on meaningful projects that improve lives, from ... Strong computer skills * Experience with AutoCAD Civil 3D and/or MicroStation a definite plus

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Entry Level Computer Vision Engineer information

See Seattle, WA salary details

$55.2K

$138.4K

$156.6K

How much do entry level computer vision engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for entry level computer vision engineer in Seattle, WA is $138,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $149,700.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What are popular job titles related to Entry Level Computer Vision Engineer jobs in Seattle, WA? For Entry Level Computer Vision Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Computer Vision Engineer jobs? Cities near Seattle, WA with the most Entry Level Computer Vision Engineer job openings:
Entry Level Computer Vision Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

MORSE Corp

Seattle, WA • On-site

$90K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE's AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE's current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
Responsibilities:
  • Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.
  • Use MLOps tools for efficient experiment tracking, data management, and reproducibility
  • Write robust, efficient, and maintainable code
  • Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
  • Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
Skills and Requirements:
  • US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
  • Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
  • Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
  • Proven experience testing and validating the performance of AI technologies in real-world applications
  • Proficiency in Python
  • Experience with cloud platforms (AWS and Azure)
  • Experience with Docker
  • Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
  • Exceptional communication skills and the ability to work well with customers
  • Understanding of Department of Defense requirements and standards is a plus

MORSE Corp's salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.
Employees also receive 10 paid holidays per year. MORSE maintains an "open" leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an "unlimited" paid leave policy.
Compensation
$90,000-$210,000 USD
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.

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