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Machine Learning Computer Vision Engineering Jobs

Machine Learning / Computer Vision Engineer

Boston, MA · On-site

$121K - $142K/yr

Strong background in machine learning for computer vision, especially deep learning‑based visual ... Strong Python programming skills. * Ability to move fluidly between research code and ...

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Machine Learning Computer Vision Engineering information

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$48.5K

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How much do machine learning computer vision engineering jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning computer vision engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Machine Learning Computer Vision Engineering jobs?

For Machine Learning Computer Vision Engineering jobs, the most frequently searched job titles are:

Machine Learning / Computer Vision

Hillsboro, OR • On-site

Other

Posted 6 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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