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Senior Computer Vision Engineer

Job in Town of Poland, Jamestown, Chautauqua County, New York, 14701, USA
Listing for: Intellias
Full Time position
Listed on 2026-07-25
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: Town of Poland

Let's breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.

Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.

Requirements:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field (PhD is a strong advantage).
  • 5+ years of experience developing Computer Vision and Machine Learning solutions.
  • Strong knowledge of deep learning architectures including CNNs, Vision Transformers (ViTs), object detection, image segmentation, OCR, image classification, and multimodal vision models.
  • Experience measuring and improving model transparency, fairness, robustness, and uncertainty.
  • Experience with PyTorch and/or Tensor Flow.
  • Experience with OpenCV and modern computer vision libraries.
  • Experience designing, executing, and evaluating Proof-of-Concepts and research prototypes.
Will be a plus:
  • Experience working in consulting or client-facing innovation projects.
Responsibilities:
  • Design, develop, and optimize advanced computer vision models for image analysis.
  • Research and implement Explainable AI (XAI) techniques to improve model transparency, interpretability, fairness, and trustworthiness.
  • Develop methods to visualize and explain model predictions for technical and non-technical stakeholders.
  • Build Proof-of-Concepts (PoCs) and prototypes to validate new ideas, algorithms, and technologies.
  • Design experiments, analyze results, and communicate findings to engineering teams and business stakeholders.
  • Evaluate model robustness, bias, uncertainty, and performance under real-world conditions.
  • Collaborate with data scientists, ML engineers, software engineers, and product teams to deliver innovative AI solutions.
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Position Requirements
10+ Years work experience
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