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Sr AI Research Engineer
Job in
1700, Fribourg, Canton de Fribourg, Switzerland
Listed on 2025-12-11
Listing for:
Cognex Corporation
Full Time
position Listed on 2025-12-11
Job specializations:
-
Engineering
AI Engineer, Data Engineer, Artificial Intelligence
Job Description & How to Apply Below
This position is for an Engineer in the AI R&D group in the Vision Tools organization. As an Engineer on this team, you will be responsible for researching, designing, implementing and deploying state-of-the-art deep learning algorithms for industrial machine vision applications, with a mission to innovate on behalf of customers and make this technology accessible to a broad range of users and platforms.
You will apply the latest trends in computer vision and natural language processing algorithms, including transformers and generative AI, to solve real world problems in the manufacturing industry such as defect inspection, OCR, image generation, etc. In this role, you will work alongside machine vision experts in software and hardware engineering, product, sales and marketing working on a range of problems across different industries, including consumer goods, aerospace, automotive, logistics, pharmaceuticals, robotics, and electronics.
Within the team, development is primarily done in Python. Engineers in this group typically have experience with deep learning, image analysis, machine vision, statistical learning, or signal processing. Success in this role has the potential to lead to increased responsibility at Cognex.
*
* The Role:
** This group is seeking engineers with a passion for innovation to lead deep learning research and development in industrial machine vision, as well as those eager to actively collaborate with the product teams to implement cutting-edge solutions.
Research, develop and evaluate modern deep learning algorithms for computer vision, with a focus on algorithms with low power, low latency and data efficiency requirements
Translate business requirements into quick working prototypes to demonstrate capabilities to internal and external stakeholders
** Knowledge, Skills, and Abilities:
** Industry or academic experience developing and optimizing deep learning algorithms in one or more relevant technical areas - computer vision, natural language processing, speech recognition Proficiency with at least one deep learning framework such as PyTorch or Tensor Flow.
Strong Python/C++ programming skills
Demonstrated experience in incubating and productizing new technology from ideation to scalable implementation
Minimum education and work experience required: 5+ years industrial work experience in deep learning or data science
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