Sr AI Research Engineer

Job Description

Cognex is a global leader in the exciting and growing field of machine vision. Our employees, proudly called “Cognoids”,are 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!

This position is for an Engineerin the AI R&D group in the Vision Toolsorganization. As anEngineeron this team, you willbe responsible forresearching, designing,implementingand 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 inspection,OCR, image generation, etc. In this role, you will work alongside machine vision experts in software and hardware engineering, product,salesand marketing working on a range of problems across different industries, including consumer goods, aerospace, automotive,logistics,pharmaceuticals, 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 learningtechnology,to 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.

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/C++programmingskills

• 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 experiencerequired:

• Masterfrom a top engineering school in CS,EEor equivalent

• 5+ yearsindustrialwork experience in deep learning or data science