Sr Ai Research Engineer

Cognex

**
Deep learning algorithm development
Computer vision and nlp expertise
Pytorch or tensorflow proficiency
** Cognex is seeking a Senior AI Research Engineer to join their Deep Learning R&D team, where the focus is on developing and implementing advanced deep learning algorithms for industrial machine vision applications. The ideal candidate will have a strong background in deep learning, specifically in computer vision and natural language processing, and will thrive in a collaborative, innovative environment. **

Job Summary

  • This role involves researching and deploying state-of-the-art deep learning algorithms for industrial machine vision applications such as defect inspection and OCR.
  • Engineers will collaborate with software, hardware, and product teams to transition prototypes into scalable implementations for Cognex products.
  • The position requires a passion for innovation and the ability to drive complex research projects in an aggressive growth environment.

Matching Summary

Match Score: 75

** Cognex is seeking a Senior AI Research Engineer to join their Deep Learning R&D team, where the focus is on developing and implementing advanced deep learning algorithms for industrial machine vision applications. The ideal candidate will have a strong background in deep learning, specifically in computer vision and natural language processing, and will thrive in a collaborative, innovative environment. **

Skills & Requirements

Must-have

  • Deep learning algorithm development
  • Computer vision and NLP expertise
  • PyTorch or TensorFlow proficiency
  • Python and C++ programming skills
  • Low power and low latency optimization
  • Transformer architectures knowledge

Nice-to-have

  • Generative AI experience
  • Multimodal AI innovation
  • Traditional computer vision integration
  • Productization of research prototypes
  • Cross-functional collaboration skills

Key Requirements

  • Master's degree from top engineering school
  • 5+ years industrial work experience in deep learning
  • Experience optimizing neural networks for low-powered devices

Work Rights

Not specified

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