About this role
About the Role Cognex is seeking an Engineer in the AI R&D group of the Vision Tools organization to lead research, design, implementation and deployment of state-of-the-art deep learning algorithms for industrial machine vision. You will apply latest CV and NLP trends to solve real-world manufacturing problems and collaborate across software, hardware, product, sales and marketing teams to make technology accessible to a broad user base. What You'll Do
- Research, develop and evaluate modern deep learning algorithms for computer vision with a focus on low power, low latency and data efficiency requirements.
- Translate business requirements into quick working prototypes to demonstrate capabilities to internal and external stakeholders.
- Collaborate closely with software and hardware engineering teams as well as product teams to transition prototypes to scalable and user-friendly implementations in Cognex products.
- Keep abreast of the latest research in industry and academia and propose algorithmic advancements applicable to Cognex products.
- Demonstrate thought leadership and drive complex research projects with a high degree of ambiguity. What We're Looking For
- Industry or academic experience developing and optimizing deep learning algorithms in one or more relevant technical areas - computer vision, natural language processing, speech recognition.
- Deep understanding of convolutional neural networks and transformer architectures.
- Proficiency with at least one deep learning framework such as PyTorch or TensorFlow.
- Strong Python/C++ programming skills.
- Creative, motivated, and looking to work hard for an aggressive growth company.
- Demonstrated experience in incubating and productizing new technology from ideation to scalable implementation.
- Master from a top engineering school in CS, EE or equivalent.
- 5+ years industrial work experience in deep learning or data science. Compensation & Benefits
- Our culture emphasizes Work Hard, Play Hard, Move Fast with recognition of achievement through unique rewards and celebrations.
- Salary and formal benefits are not disclosed in the posting.