Machine Learning Modeling Engineer

About the role

Corning seeks an ML Modeling Engineer for product and process design and development. Requires MS or PhD in a relevant technical field with ML specialization, a scientific background, data preparation and exploratory analysis, deep learning/ML, PyTorch or TensorFlow, Python, Linux parallel-computing clusters and Databricks. Preferred areas include time series, vision, NLP, physics-informed networks, uncertainty quantification, and scalable analytics. On-site in Corning, NY. The posting states that this position supports immigration sponsorship.

Requirements

• MS or PhD in engineering, CS, mathematics, statistics, or related field with ML/AI specialization
• Scientific background such as physics, chemistry, or engineering
• Independent data preparation and exploratory analysis
• Deep knowledge of traditional ML, deep learning, CNNs, RNNs, generative models, and reinforcement learning
• Practical PyTorch or TensorFlow experience
• Strong Python and mathematics
• Comfort with Windows, Linux parallel-processing clusters, and Databricks
• This position supports immigration sponsorship

What you'll do

• Develop ML, deep-learning, and generative-AI models for research, engineering, and product development
• Prepare data, perform exploratory analysis, test and refine models
• Partner with scientists, engineers, and stakeholders
• Interpret results and communicate recommendations
• Support scientific computing, software development, documentation, and training
• Collaborate across multiple projects

Where this was posted

• LinkedIn

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