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 Machine Learning Modeling Engineers - Corning, New York, United States

   
Job information
Posted by: Corning Inc 
Hiring entity type: Other 
Work authorization: Existing work authorization required for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Engineering - Other
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: zXCkM0b8sjt8TKgQNIGflPzXUVszJB / Latpro-3785248 
Date posted: Apr-13-2021
State, Zip: New York, 14831

Description

Corning Incorporated (Erwin, NY) seeks Machine Learning Modeling Engineers.

Use data driven modeling, machine learning, & deep learning to solve manufacturing process problems for proprietary products (specialty glass for panels, cover glass, automotive glass, & catalytic converters); develop novel computational methods & analytical models to promote innovation & enhance our competitive advantage; prepare data & develop and test models for use in research, development, & engineering; interpret data in a research, development, & engineering context; connect physics-based & data-driven modeling to simulate production processes; use solid mechanics software to predict material shape & stresses; document technical reports & discoveries; & prepare and deliver internal trainings. Master’s degree in Computer Science, Mathematics, Engineering, or related discipline with concentration or coursework in data analytics & machine learning + 1 yr exp using machine learning to analyze datasets. Exp must include: consolidating & transforming data for machine learning; writing machine learning algorithms using Python or R; developing & deploying machine learning models to solve problems; & working with Linus & Windows parallel processing clusters. Up to 10% domestic travel. Send resume to by clicking apply now.


recblid lxtqzclf3kgp4ohs67a2z6ec5vu5em



Requirements

None

 

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