Corning is looking to enhance the competitive advantage of its products by developing novel computational methods and analytical models through data analytics and machine learning.
Requirements
- 1+ year of 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 can be demonstrated through academic research projects, intern or industrial work, publications, compelling open-source project contributions, or an impressive Kaggle scoreboard.
- Capable of independently preparing data for machine learning purposes and performing exploratory data analysis.
- Strong mathematical and programming skills using Python and/or R.
- Comfortable working with Windows and Linux parallel processing clusters.
- Practical experience of using deep learning frameworks and libraries for large-scale data mining (e.g., PyTorch, Tensor Flow).
- Background in Time Series, Computer Vision, Natural Language Processing, Materials Informatics, 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 (e.g., attention algorithms, few-shot learning, explainability, generative networks, large language model, etc.).
Responsibilities
- Develop advanced machine learning models to support efforts in product and materials design and discovery.
- Identify opportunities to apply advanced analytics and machine learning by understanding the business needs and developing project proposals to solve critical problems.
- 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.
- Work independently or as part of the team on data preparation, machine learning model development and testing 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.
Other
- Bachelor or MS in engineering, computer science, mathematics and statistics, or a related discipline, with specialization in data analytics and machine learning.
- This position does not support immigration sponsorship.
- The range for this position is $70,586.00 - $97,056.00 assuming full time status.
- Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.
- We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.
