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Temporary Computer Vision Engineer Jobs in Oregon

Hillsboro OR - Onsite (Local preference) Duration: 3 years Contract Must-Have Skills โ€ข 5+ years of hands-on ML/Computer Vision experience. โ€ข Strong Python programming. โ€ข Strong experience with ...

What you'll do Design, develop, and deploy computer vision algorithms for detection, classification ... Mentor junior engineers and provide technical guidance on best practices in data science and ...

Senior Software Engineer, Digital Twin Platform

OR ยท 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 ...

Machine Learning Engineer

OR ยท On-site +1

We design computer vision and machine learning-assisted production processes to reduce food waste ... POSITION OVERVIEW As a Machine Learning Engineer at FloVision, you will design, develop, and ...

Machine Learning Engineer

Foster, OR ยท On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... Experience with image analysis, computer vision, signal processing, or data-driven algorithm ...

New

Senior Software Engineer, Caper AI

OR ยท 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 ...

Lead ML Engineer - Mapping

OR ยท On-site +1

$102K - $134K/yr

Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth ... Strong programming skills in Python and/or C++ with experience in modular software design and Linux ...

Lead Machine Learning Engineer - Localization

OR ยท On-site +1

$102K - $134K/yr

Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth ... Strong programming skills in Python and/or C++ with experience in modular software design and Linux ...

Lead ML Engineer - Lane & Route Network Mapping

OR ยท On-site +1

$102K - $134K/yr

Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth ... Strong programming skills in Python and/or C++ with experience in modular software design and Linux ...

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Infographic showing various Temporary Computer Vision Engineer job openings in Oregon as of June 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Machine Learning / Computer Vision

Hillsboro, OR โ€ข 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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