Sr. Engineer, Machine Learning

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The company built on breakthroughs.
Join us.

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations– not once in a career, but every day. They help move our company,and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Corning’s businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with:

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
• Precision glass for advanced displays to deliver richer experiences
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation

Do you want to be part of a unique opportunity to join a growing team that is demonstrating value and driving business impact within Corning Incorporated? We are increasing our application of advanced analytics and expert systems to our growing manufacturing capabilities. New manufacturing measurements and controls systems provide vast amounts of untapped process and product data. Your responsibilities will include transforming our data assets into strong internal insights that drive strategic solutions to deliver large value impact.

You will act as a key member of multi-disciplined teams solving diverse challenges as you work across the many businesses that comprise Corning.

• Successfully identify the real problem from the customer’s point of view to build and execute predictive maintenance, computer vision, inspection systems, or process modeling work plans that deliver business impact.
• Communicate technical analyses and results to division and manufacturing plant customers.
• Perform exploratory and targeted data analysis using commercial and open-source
  data analytics software packages.
• Formulate algorithms to develop predictive maintenance or condition-based maintenance strategies for manufacturing equipment. Perform systems design to deploy the developed solutions in production.
• Develop Computer Vision and Deep Learning based solutions to solve problems for various areas of manufacturing such as inspection systems, process workflow, etc.
• Apply multivariate statistical methods and machine learning techniques to find
  structure and value in both large and small data sets to identify key process input
  variables that can feed process control solutions.
• Develop predictive/classification models for use in production.
  Write technical reports summarizing development, application, and validation of the technical analysis.
• Configure/manage deployment environments for Machine Learning applications including but not limited to on-premise workstations/servers, cloud, or edge devices.

• Travel requirements will vary.
  Expected travel up to 25% both Domestic and International

• Bachelors degree with 2 years’ experience or Master's degree or PhD degree with capstone/thesis experience in Computer Science or an Engineering discipline. Certification desired in one of Deep Learning, Convolutional Neural Networks, CUDA-based acceleration for ML, or Deep Learning with Computer Vision.

• Basic experience with Object-Oriented Programming
• Passion, knowledge of, and experience with applying ML/statistical algorithms for classification, regression, and clustering, e.g., CNNs, Transformers, Random Forest, SVM, Logistic…