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Corning Incorporated is seeking a Machine Learning Engineer in Reynosa, Mexico to support the development, deployment, and monitoring of ML solutions aimed at improving manufacturing performance and reducing defects. The role requires hands-on Python experience and a willingness to work across ML, data science, data engineering, and IT teams.
You will assist with model training, data preparation, testing, and documentation while contributing to continuous improvement by adopting new tools and
Would you like to build intelligent solutions that help transform manufacturing operations through automation, data, and machine learning?
What is your role?
As a Machine Learning Engineer, you will support the development, deployment, and monitoring of machine learning solutions that help improve manufacturing performance, reduce defects, and enable smarter decision-making. This role is ideal for someone with strong technical curiosity, hands-on Python experience, and interest in applying machine learning in real business and manufacturing environments.
Major responsibilities and tasks of the position:
What do you need to have?
Bachelor’s degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical field.
What we offer?
Great benefits above law.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com
Corning is one of the world’s leading innovators in materials science. For more than 170 years, Corning has applied its expertise in glass science, ceramics science, and optical physics to develop products that transform industries and improve people’s lives.