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Senior Computer Vision Engineer Jobs in Oregon (NOW HIRING)

Instacart

Senior Software Engineer, Digital Twin Platform

OR · On-site +1

$122K - $161K/yr

We are looking for a highly motivated Senior Software Engineer to join our team. You will be ... In close collaboration with machine learning engineers, computer vision engineers, product teams ...

Lam Research

Vision Systems Engineer 4

Tualatin, OR · On-site

What you'll do Design, develop, and deploy computer vision algorithms for detection, classification ... As a senior technical contributor, you will drive end-to-end vision system development, collaborate ...

Hazen and Sawyer

CAD/BIM Designer, Revit MEP

Portland, OR · On-site

$28.50 - $39.50/hr

Executing redlines from Engineers and senior CAD/BIM Designers * Ensure drawing compliance with ... Comprehensive health benefits (medical, dental, vision, and prescription plans) * Pre-tax flexible ...

Posted today

Instacart

Senior Software Engineer, Caper AI

OR · On-site +1

$122K - $161K/yr

Senior Software Engineer, Caper AI Job #CAPS40 Overview Maplebear Inc. D/B/A Instacart in San ... Architecting data pipelines and reverse ETL systems that combine on-cart computer vision, catalog ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

This role reports to the Sr. Director AI and can be based in our San Diego CA or Foster City CA ... Experience with image analysis, computer vision, signal processing, or data-driven algorithm ...

Posted today

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Oregon

Senior Computer Vision Engineer information

See Oregon salary details

$62.9K

$133.8K

$194K

How much do senior computer vision engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for senior computer vision engineer in Oregon is $133,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $151,700.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

What are some common challenges faced by a senior computer vision engineer when deploying models to production environments?

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

What is the difference between Senior Computer Vision Engineer vs Computer Vision Engineer?

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What are the most commonly searched types of Computer Vision Engineer jobs in Oregon?

The most popular types of Computer Vision Engineer jobs in Oregon are:

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

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

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

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

What cities in Oregon are hiring for Senior Computer Vision Engineer jobs?

Cities in Oregon with the most Senior Computer Vision Engineer job openings:

Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $133,807 per year, or $64.3 per hour.

Machine Learning / Computer Vision

Hillsboro, OR • On-site

Chabez Tech LLC
See more jobs at Chabez Tech LLCexternal

Other

Posted 4 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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