Job Description

Corning Incorporated focuses on building a diverse global workforce where differences are celebrated, and employees feel safe bringing their “whole selves” to work. Our Diversity Network hosts 18 active and distinctive Employee Resource Groups. Employees have access to Allyship resources, podcasts, an internal video channel, digital learning series and trainings, all focused on building and celebrating global diversity and inclusion. Corning has been recognized as a leader in this regard and has been consistently recognized as a national employer of choice.

Scope of Position:

Develop advanced machine learning models.
Act as Subject Matter Expert to provide data analytics and machine learning modeling development support, and to create novel computational methods and analytical models to enhance the competitive advantage of Corning products.
Identify opportunities to apply advanced analytics and machine learning by understanding the business needs and developing project proposals to solve critical problems.

Day to Day Responsibilities:

Participate in research & engineering projects providing data analytics, machine learning, software development, and modeling support to Corning technology community and to enable effective innovation and competitive advantage of Corning products.
Interface with customers to define project specifications, research and improve applicable technologies, and work with industry experts to expand Corning expertise in key emerging technology areas.
Work independently or as part of the team on data preparation, machine learning model development and testing and/or software development & modifications in support of Corning products at different stages.
Interpret data analysis results in RD&E or business context and articulate the implications of the results to the business function.
Write and maintain relevant support documentation, prepare and deliver relevant user training, and mentor new engineers and scientists.

Required Education:

PhD in engineering, computer science, mathematics and statistics, or a related discipline with specialization in data analytics & machine learning.
Will consider MS with more work experience

Required Years and Area of Experience:

1+ year of work experience in development and deployment of different machine learning models, such as time series modeling, computer vision, and natural language processing, to solve either academic or business problems.
Experience demonstrated through academic research projects, industrial work, publications, compelling open-source project contributions, or an impressive Kaggle scoreboard.

Required Skills:

Capable of independently preparing data for machine learning purposes and performing exploratory data analysis.
Deep knowledge of machine learning techniques, such as traditional machine learning and deep learning algorithms, convolutional neural networks, recurrent neural networks, and reinforcement learning algorithms.
Practical experience of using machine learning and deep learning frameworks and libraries for large-scale data mining (such as PyTorch and Tensor Flow)
Strong mathematical and programming skills using Python, R and/or MATLAB.
Comfortable working with Windows and Linux parallel processing clusters.
Ability to communicate and understand the complex requirements of scientists, engineers and professional staff in the development and deployment of solutions and to bridge gaps between “domain” language (engineering, science) and “computing solution” language.
Strong interpersonal & presentation skills and ability to work as a team player or individual contributor. Must be a proactive and solution-oriented problem solver.

Desired Skills:

Background in Time Series, Computer Vision, Natural Language Processing or Physics-Informed Neural Networks and track record of journal or conference publications in relevant fields.
Knowledge of emerging technologies and algorithms in computer vision and/or machine learning in general, such as attention algorithms, few-shot learning, explainability, etc.
Background in or familiarity with one or more scientific disciplines (e.g. physics, chemistry, or engineering) and experience of physics-based modeling and ability to analyze, optimize and debug scientific code.
Good understanding of Databricks analytics platform and can build data analytics solutions to support the required performance & scale.
A foundation in software design principles and an ability to design and create applications as necessary.
Ability to support multiple projects.
Clear dedication to excellence and advancing beyond the current state.
Strong personal motivation and proven ability to embrace and drive change.

Travel Requirements:

Individual may travel multiple times per year for one to two weeks per visit to other Corning locations or customers (domestic and international) or to pursue training opportunities (conferences, classes).

This position does support immigration sponsorship.