Machine Learning Modeling Engineer

Corning is vital to progress – in the industries we help shape and in the world we share.

We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.

Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry. This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data, and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments, and individuals for their own use.

As a Fortune 500 leader in advanced glasses, ceramics, and optical physics for 170 years, Corning Inc continually overcomes challenging engineering problems. The Modeling, Machine Learning and Advanced Analytics group within the Corning Technology Center, Montreal (CTCM) is a team of scientists, engineers, and software developers working on modeling and machine learning solutions to enable some of the most exciting industrial innovations of our time.

SCOPE OF THIS POSITION:

• Develop predictive models of physics and chemistry to discover and manufacture new materials.
• Leverage High Performance Computing (HPC) infrastructure to develop computational solutions.
• Deploy scalable solutions for large datasets.
• Work in collaboration with project management and experimental scientists to deliver effective and timely solutions.
• Interact regularly with research groups within Corning.
• Stay abreast of new developments in the field of modeling and machine learning for physics and chemistry of materials, with a constant eye on how these innovations can be applied to our problems.
• Participate in presenting new results and research innovations internally and externally.
• Cultivate and grow ties with academia.
• Mentor new hires and interns.

REQUIRED QUALIFICATIONS:

• Strong background in numerical modeling for physics or chemistry and emerging machine learning methods applied to problems in materials science, mechanical engineering, chemical engineering, civil engineering, or applied physics.
• Experience demonstrated through industrial work, academic research projects, or compelling open-source project contributions.
• Deep understanding of one or more numerical modeling domains, including but not limited to computational aspects of materials science, fluid dynamics and heat transfer, solid mechanics, optical physics.
• Strong interest, and preferably demonstrated background, in emerging machine learning approaches to enable and accelerate numerical simulation of open problems in physics or chemistry.
• Strong programming background in one or more languages such as Python, C/C++, Fortran, C#, Java.
• Excellent communication skills – both oral and written.
• Graduate-level training in numerical simulation in engineering (materials, mechanical, chemical, civil), applied math, applied physics.
• Strong hands-on experience with the Python scientific stack (Python core, SciPy, NumPy, Pandas, Matplotlib, scikit-learn and deep learning frameworks such as TensorFlow or PyTorch).
• Experience with High Performance Computing, including General Purpose GPUs, would be a strong asset.
• Experience in writing clean and maintainable code is critical. Working as part of a team using source management frameworks such as GIT is an asset.

DESIRED QUALIFICATIONS:

• Creative
• Detail-oriented and precise.
• Team player
• Organized

TRAVEL REQUIREMENTS:

10% OF TRAVEL

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com.