Cognex is a global leader in the exciting and growing field of machine vision. Our employees proudly called Cognoidsare passionate about solving the most difficult vision problems with our embedded cameras and software products featuringstate-of-the-art2D and 3D vision technology using deep learning. Our Work Hard Play Hard Move Fast culture recognizes achievement and dedication with unique rewards and celebrations.
We are looking for creative bright motivatedCognoidswho share our passion for excellence and want to make an impact at a dynamic global company. We celebrate our employees for their innovation perseverance and hard work in a fun rewarding and quirky environment. If you enjoy the sense of accomplishment that comes from working together to create products that solve tough problems for organizations around the world contact us to see how you can become part of our team!
The Team: Deep Learning R&D Advanced Vision Technology
This position is for an Engineerin the AI R&D group in the Vision Toolsorganization. As anEngineeron this team you willbe responsible forresearching designingimplementingand deployingstate-of-the-artdeep 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 inspectionOCR image generation this role you will work alongside machine vision experts in software and hardware engineering productsalesand marketing working on a range of problems across different industries including consumer goods aerospace automotivelogisticspharmaceuticals robotics and electronics.
Your research will typically span questions like:
What are the best neural network architectures to solve real world vision problems in industrial manufacturing
How can we make neural networks run faster on low-powered devices
How can we adapt neural networks to new tasks and products quickly in low data settings
How can weleveragethe latest advancements in natural language processing and multimodal AI to drive innovation in computer vision applications
How can we combine traditional computer vision algorithms with deep learningtechnologyto solve a wider range of problems
How do weproductizeadvanced technology while making it easy for non-data-scientiststodeploy ontheir production lines
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 teamsto implementcutting-edgesolutions.
Essential Functions:
Research develop and evaluate modern deep learning algorithms for computer vision with a focus on algorithms with low power lowlatencyand data efficiency requirements
Translate business requirements into quick working prototypestodemonstratecapabilities 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 drivecomplex research projects with a high degree of ambiguity
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
Deep understanding of convolutional neural networks and transformer architectures
Proficiencywith at least one deep learning framework such asPyTorchor TensorFlow.
StrongPython/Cprogrammingskills
Creative motivated and looking to work hard for an aggressive growth company
Demonstrated experience in incubating and productizingnew technologyfrom ideation to scalable implementation
Minimum education and work experience:
Masterfrom a top engineering school in CSEEor equivalent
5 yearsindustrialwork experience in deep learning or data science
Required Experience:
Senior IC
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