Machine Learning Engineer - IT Manufacturing

Requisition Number: 71027

The company built on breakthroughs. ​  
Join us.​    

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.  ​  

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​  

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​   

​Come break through with us.  

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Help transform Corning’s global manufacturing with production-grade AI/ML. You’ll build and scale models and data pipelines across cloud and on‑prem environments, partnering closely with domain experts, controls engineers, data scientists, and application developers.

What you’ll do

• Design and develop ML systems, training and optimizing models, and deploying and maintaining them in production environments
• Build modular, high‑performance model pipelines for traditional ML and deep learning (random forests, CNNs, RNNs).
• Develop reliable data pipelines to ingest, clean, and transform structured and unstructured data from APIs, databases, files, and streams.
• Perform EDA, feature engineering, and data validation to improve model outcomes.
• Translate business needs into technical solutions; document, review code, and contribute in Agile sprints.
• Own the ML lifecycle using registries (e.g., MLflow) and MLOps best practices.
• Work across AWS services (SageMaker, ECS, S3, Glue, Greengrass); Databricks experience is a plus.

What you’ll bring

• BS/MS in Computer Science, Mathematics, Engineering, or related field.
• 5+ years building and deploying ML in production.
• Strong Python (or R) and experience with scikit‑learn, TensorFlow, PyTorch, Keras; Docker for containerization.
• Deep learning fundamentals (CNNs, RNNs) plus ML concepts (clustering, regression, classification, forecasting).
• Familiarity with GenAI/LLMs (LangChain, Hugging Face, RAG) and NLP techniques (tokenization/vectorization, semantic search, clustering).
• Robust software engineering mindset, CI/CD, monitoring, and model performance management.
• Clear communication and collaborative working style.

Nice to have

• Experience in manufacturing environments and controls/industrial systems.
• Leading ML architecture and model registry implementations.
• Databricks or other cloud analytics platforms.
• Comfort in highly matrixed organizations; proactive, growth mindset.

This position does not support immigration sponsorship.  

The range for this position is $106,089.00 - $145,873.00 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. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.

A job that shapes a life.  

Corning offers you the total package.  

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial, and career from day one

• As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career.  We also offer a 401(k) savings plan with company matching contributions.  
• Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs. 
• Company-wide bonuses and long-term incentives, align with key business results and ensure you are rewarded when the company performs well – when Corning wins, we all win.     
• Getting paid for our work is important but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors.  

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.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com.