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Computer Vision Jobs in Oregon (NOW HIRING)

What you'll do Design, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics. Build scalable machine learning and ...

Senior Software Engineer, Digital Twin Platform

OR · On-site +1

$122K - $161K/yr

In close collaboration with machine learning engineers, computer vision engineers, product teams, and data scientists, you will enable sophisticated models and data collection platforms to scale ...

We design computer vision and machine learning-assisted production processes to reduce food waste, improve QA, and enhance staff skills, using proprietary hardware and software to solve customer ...

Senior Software Engineer, Caper AI

OR · On-site +1

$122K - $161K/yr

Architecting data pipelines and reverse ETL systems that combine on-cart computer vision, catalog and POS data, real-time location data, and inventory intelligence signals to automatically resolve ...

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Design, develop, and optimize advanced algorithms for workflow automation, which include computer vision and computational geometry components. * Develop signal-processing and image-analysis ...

Posted today

Our client is seeking a CAD Drafter to support civil, environmental, and geotechnical engineering ... Vision Insurance * 401(k) with Company Match * Flexible Spending Account * Employee Assistance ...

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Computer Vision information

See Oregon salary details

$35.4K

$51.1K

$67.1K

How much do computer vision jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computer vision in Oregon is $51,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,200.00 and $58,700.00 per year, depending on experience, location, and employer.

What is a computer vision?

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 does a computer vision professional do?

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 are the key skills and qualifications needed to thrive in computer vision?

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.

Is computer vision a good career?

Computer vision is a growing field within artificial intelligence that involves developing algorithms to interpret visual data. It offers opportunities in industries such as healthcare, automotive, and security, often requiring skills in programming, machine learning, and image processing. Job prospects are strong, with demand for specialists who can work with tools like OpenCV and deep learning frameworks.

What are computer vision jobs?

Computer vision jobs involve developing algorithms and systems that enable computers to interpret and analyze visual data such as images and videos. Roles often require skills in machine learning, programming languages like Python or C++, and familiarity with tools like OpenCV or deep learning frameworks. These jobs are common in industries like robotics, healthcare, automotive, and security, and may require a background in computer science or engineering.

What are popular job titles related to Computer Vision jobs in Oregon?

For Computer Vision jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Computer Vision jobs in Oregon look for?

The top searched job categories for Computer Vision jobs in Oregon are:

What cities in Oregon are hiring for Computer Vision jobs?

Cities in Oregon with the most Computer Vision job openings:

Infographic showing various Computer Vision job openings in Oregon as of September 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $51,065 per year, or $24.6 per hour.

Machine Learning / Computer Vision

Hillsboro, OR • On-site

Other

Posted 5 days ago


Job description

Role: Machine Learning / Computer Vision

Location: Hillsboro OR - Onsite

Duration: 2 years Contract

 

We develop AI-powered semiconductor wafer inspection systems using computer vision and machine learning to analyze images at the limits of physical measurement.

 

Key Responsibilities

  • Build and train Computer Vision models for image classification, especially with imbalanced or poor-quality images.
  • Develop image embeddings, metric learning, and similarity/retrieval systems.
  • Build Few-Shot Learning / Cold-Start models using limited training data.
  • Implement model confidence, uncertainty, calibration, and anomaly/novelty detection so models avoid incorrect predictions.
  • Optimize ML models for fast and efficient inference, including GPU/edge environments.
  • Build and manage MLOps pipelines including model monitoring, drift detection, automated retraining, testing, and deployment.
  • Work closely with domain/subject-matter experts to understand real-world data and improve model performance.

Must-Have Skills

  • 5+ years of hands-on ML/Computer Vision experience.
  • Strong Python programming.
  • Strong experience with PyTorch or similar deep-learning frameworks.
  • Knowledge of modern Computer Vision architectures: CNNs, Vision Transformers (ViT).
  • Strong experience in at least 2 of the following:
    • Image Classification / Detection
    • Metric Learning / Embeddings / Similarity Search
    • Few-Shot / Self-Supervised Learning
    • Model Calibration / Uncertainty / Novelty Detection
    • MLOps / Model Lifecycle
  • Strong understanding of model validation, experimentation, and data quality.

Experience working with large, messy, or domain-specific datasets.

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