Sr. Engineer, Machine Learning
Corning Incorporated3 days ago
Durham, NC, USASenior
Base Salary
$91k - $126k/yr
Responsibilities
- Partner with manufacturing, engineering, and business stakeholders to understand technical problems and develop machine learning or AI solutions.
- Perform exploratory and targeted data analysis, prepare data, select methods, develop and evaluate models, and communicate recommendations.
- Develop solutions for classification, regression, clustering, predictive maintenance, condition-based maintenance, process modeling, computer vision, and inspection systems.
- Develop and support LLM-integrated applications, including MCP- and RAG-based process, equipment, and knowledge assistants.
- Build predictive and classification models and support deployment to on-premise systems, servers, cloud environments, and edge devices.
- Configure, manage, and troubleshoot machine learning application environments, data workflows, and deployment infrastructure.
- Document technical approaches, model development, validation, results, and recommendations through reports and presentations.
- Collaborate across multidisciplinary teams and identify, scope, and develop new machine learning opportunities.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a 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 select analytical methods for engineering or business problems and explain the rationale.
- Ability to communicate technical findings to technical and nontechnical stakeholders.
- Desired experience includes predictive maintenance, manufacturing analytics, computer vision, inspection systems, LLM application development, production machine learning deployment, cloud or edge computing, and industrial-data applications.
- Desired familiarity includes OpenCV, HALCON, convolutional neural networks, recurrent neural networks, YOLO, Claude Code, OpenCode, Codex, Model Context Protocol, retrieval-augmented generation, agentic AI frameworks, Linux, CUDA, GPU computing, NVIDIA edge devices, MATLAB, C#, R, LabVIEW, C++, C, SQL, ETL workflows, Streamlit, Dash, Flask, Blazor, Power BI, CI/CD pipelines, AWS, and Microsoft Azure.
- Must be able to work in the United States without current or future immigration sponsorship and meet export-control eligibility requirements.
Benefits
- Company-wide bonuses and long-term incentives.
- Company-paid pension benefit with fixed contributions and matching 401(k) contributions, with total retirement contributions potentially reaching 7% to 12% of pay.
- Medical, dental, vision, paid parental leave, family building support, fitness benefits, company-paid life insurance, disability coverage, disease management programs, paid time off, and an Employee Assistance Program.
- Recognition programs for exceptional contributions.
- Reasonable workplace accommodations are available for disabilities and sincerely held religious beliefs.
Categories
About Corning Incorporated
Corning Incorporated designs and manufactures specialty glass, ceramics, and optical materials for consumer electronics, communications networks, automotive emissions control, advanced displays, and life-science research. Core lines include Gorilla Glass and other specialty materials, display glass substrates, optical fiber and connectivity, emissions-control substrates, and laboratory vessels sold to device makers, network builders, automakers, and researchers. Founded in 1851 and headquartered in Corning, New York, it is a public company traded on the NYSE (ticker: GLW).