Sr. Engineer, Machine Learning

Job description

Requisition Number: 78440 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. Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with: Trusted products that accelerate drug discovery, development, and delivery to save lives Damage-resistant cover glass to enhance the devices that keep us connected Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light Precision glass for advanced displays to deliver richer experiences Auto glass and ceramics to drive cleaner, safer, and smarter transportation Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions Role Summary Corning is seeking a Sr. Engineer, Machine Learning to join a growing Manufacturing Technology and Engineering team in Durham, North Carolina. This person will help develop and deploy applied machine learning, AI, and analytics solutions that address real manufacturing and operational challenges across Corning.The role will work with technical customers to understand the underlying business or engineering problem, develop practical modeling approaches, and help transition solutions into production environments. Projects may include predictive maintenance, computer vision and inspection systems, process modeling, and LLM-integrated applications such as MCP- or RAG-based assistants.The team is looking for a strong applied machine learning foundation rather than prior manufacturing experience specifically; manufacturing, equipment, or industrial-data experience is beneficial but not required. Key Responsibilities • Partner with manufacturing, engineering, and business stakeholders to understand technical problems and develop machine learning or AI solutions that deliver practical business impact • Perform exploratory and targeted data analysis; prepare data, select appropriate methods, develop models, evaluate results, and clearly communicate recommendations • Develop machine learning solutions for classification, regression, clustering, predictive maintenance, condition-based maintenance, process modeling, computer vision, or inspection-system applications • Develop and support LLM-integrated applications, including MCP- and RAG-based process, equipment, or knowledge assistants • Build predictive and classification models and support deployment into production environments, including on-premise systems, servers, cloud, or edge devices • Configure, manage, and troubleshoot machine learning application environments, data workflows, and deployment infrastructure as needed • Document technical approaches, model development, validation, results, and recommendations through reports and presentations • Collaborate across multidisciplinary teams and contribute to identification, scoping, and development of new machine learning opportunities Experiences/Education - Required • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related technical discipline with two or more years of relevant applied experience; or a master’s or doctoral degree with substantial applied project, capstone, thesis, internship, or research experience • Applied experience using machine learning methods for classification, regression, clustering, forecasting, or related analytical problems • Strong foundation in statistics, data science, model evaluation, and data-driven problem solving • Experience in at least one area of machine learning, deep learning, computer vision, or large language models • Proficiency in Python and working knowledge of object-oriented programming • Experience with at least one major machine learning framework or data-analysis library, such as PyTorch, TensorFlow, Pandas, Polars, DuckDB, or PySpark • Familiarity with Git and version-control practices • Ability to understand an engineering or business problem, select appropriate analytical methods, and explain the rationale behind the approach • Ability to communicate technical findings effectively to both technical and nontechnical stakeholders • Ability to work in the United States without current or future immigration sponsorship and meet export-control eligibility requirements Experiences/Education - Desired • Experience with predictive maintenance, condition-based maintenance, manufacturing analytics, equipment data, process modeling, or industrial-data applications • Experience with computer vision, inspection systems, OpenCV, HALCON, convolutional neural networks, recurrent neural networks, YOLO, or related techniques • Familiarity with LLM application development, Claude Code, OpenCode, Codex, Model Context Protocol, retrieval-augmented generation, agentic AI frameworks, or related tools • Experience with Linux, CUDA, GPU computing, NVIDIA edge-device environments, cloud platforms, or production machine learning deployment • Experience with MATLAB, C#, R, LabVIEW, C++, C, SQL, ETL workflows, data extraction, data cleansing, or data manipulation • Experience with Streamlit, Dash, Flask, Blazor, Power BI, or other application-development, visualization, or reporting tools • Familiarity with CI/CD pipelines and cloud-based storage or compute environments such as AWS or Microsoft Azure • Experience transitioning proof-of-concept machine learning work into deployed production applications • Experience identifying machine learning opportunities, shaping technical proposals, or building stakeholder support for data-driven solutions This position does not support immigration sponsorship. The range for this position is $91,311.00 - $125,553.00 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. 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 aspirations, and career from day one. 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. As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service. Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family. 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 recognition program to celebrate successes and reward colleagues who make exceptional contributions. 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. 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 accommodations 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 accommodation related to disability or religion, please contact us at .