Corning Incorporated · 14 hours ago
Sr. Engineer, Machine Learning
Durham, NC
Full-time
Onsite
Mid, Senior Level
$91K/yr - $126K/yr
2+ years expCorning Incorporated is one of the world’s leading innovators in glass, ceramic, and materials science. They are seeking a Senior Engineer in Machine Learning to transform data assets into insights that drive strategic solutions and deliver significant business impact across their manufacturing capabilities.
Manufacturing
Responsibilities
Successfully identify the real problem from the customer’s point of view to build and execute predictive maintenance, computer vision, inspection systems, or process modeling work plans that deliver business impact
Communicate technical analyses and results to division and manufacturing plant customers
Perform exploratory and targeted data analysis using commercial and open-source data analytics software packages
Formulate algorithms to develop predictive maintenance or condition-based maintenance strategies for manufacturing equipment. Perform systems design to deploy the developed solutions in production
Develop Computer Vision and Deep Learning based solutions to solve problems for various areas of manufacturing such as inspection systems, process workflow, etc
Apply multivariate statistical methods and machine learning techniques to find structure and value in both large and small data sets to identify key process input variables that can feed process control solutions
Develop predictive/classification models for use in production. Write technical reports summarizing development, application, and validation of the technical analysis
Configure/manage deployment environments for Machine Learning applications including but not limited to on-premise workstations/servers, cloud, or edge devices
Qualification
Required
Bachelors degree with 2 years' experience or Master's degree or PhD degree with capstone/thesis experience in Computer Science or an Engineering discipline
Certification desired in one of Deep Learning, Convolutional Neural Networks, CUDA-based acceleration for ML, or Deep Learning with Computer Vision
Basic experience with Object-Oriented Programming
Passion, knowledge of, and experience with applying ML/statistical algorithms for classification, regression, and clustering, e.g., CNNs, Transformers, Random Forest, SVM, Logistic Regression, clustering, Bayesian models, Principal Components Analysis, Partial Least Squares, etc
Strong knowledge of statistics and data science
Familiarity with basics of Optimization theory
Experience in at least one area among Machine Learning, Deep Learning, Computer Vision
Familiarity with basic Linux commands
Familiarity with basics of CUDA and GPU
Technical experience with at least two of the following languages/tools: Python, Matlab, C#, R, Labview, C++, JMP
Experience with at least three of the following framework/libraries: TensorFlow, PyTorch, Streamlit, Dash, Pandas, Polars, PySpark
Demonstrated experience with at least two visualization tools, e.g., Streamlit, Dash, Flask, Power BI, Blazor, etc
Ability to understand the underlying engineering principle is a must
Ability to show the relevance of the applied techniques in Machine Learning, and prioritizing work across multiple projects will be critical
Ability to serve as an analytics translator for multiple business groups by understanding business needs and determining how analytics can help businesses
Ability to identify ML opportunities, build proposals, and gain stakeholder buy-in
Work with senior engineers to grow the overall analytics capabilities of the team
Strong attention to detail and organizational skills
Ability to work collaboratively in a team environment across stages of innovations
Ability to communicate the outcome of complex and/or technical concepts in a clear manner to a non-analytical group
Ability to transition a proof-of-concept into deployed production applications
Preferred
Software development experience in C#, C++, or C
Experience of setting up CUDA environment on Nvidia edge devices
Familiarity with CI/CD pipelines
Fluency with Linux and Windows commands-line tools
Familiarity with OpenCV
Knowledge of HALCON for Computer Vision is a plus
Software version control experience (i.e. Git)
Familiarity with basic concepts of Large Language Models (LLM)
Familiarity with ETL tools for data extraction, data cleansing, and data manipulation
Fluency with SQL
In-depth knowledge of Deep Learning techniques (e.g., CNN, RNN, YOLO) and proper use of libraries such as PyTorch and TensorFlow
Familiarity with cloud-based storage and compute environments (AWS, MS Azure)
Benefits
Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well.
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.
Company
Corning Incorporated
Corning is a manufacturer of glass, ceramics, and related materials.
10001+ employees
H1B Sponsorship
Corning Incorporated has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (50)
2024 (27)
2023 (35)
2022 (46)
2021 (70)
2020 (45)
Funding
Current Stage
Late StageLeadership Team
Gabrielle Bailey
CEO & Executive Communications
Steve Warneke
Chief of Staff to the CEO
Recent News
EIN Presswire
2025-10-28
Benzinga.com
2025-08-22
Research and Markets
2025-08-18
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