Pay
Lower than most similar jobs
$91.3K–$126K against $166K–$240K, the middle half of what similar US postings state.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Engineer, Machine Learning
Durham, NC, US, 27712
Live, first seen by us 16 days ago- Pay
$91,311–125,553/yearAnnual period assumed — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
This position does not support immigration sponsorship
What you’ll work on
Full postingTurn manufacturing and engineering problems into ML or AI solutions with stakeholders
Build classification, regression, and predictive maintenance models
Develop and support MCP- and RAG-based LLM assistants
Support deployment of models to on-premise, cloud, or edge environments
Analyze data, evaluate results, and document and present recommendations
From the employer’s posting
Partner with manufacturing, engineering, and business stakeholders to understand technical problems
Develop machine learning solutions for classification, regression, clustering, predictive maintenance
Develop and support LLM-integrated applications, including MCP- and RAG-based process, equipment, or knowledge assistants
support deployment into production environments, including on-premise systems, servers, cloud, or edge devices
Perform exploratory and targeted data analysis; prepare data, select appropriate methods, develop models, evaluate results, and clearly communicate recommendations
Education & alternatives
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 19, 202616 days ago
- Recorded sightings
- 135
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 16
Similar jobs usually come down between day 6 and day 70.
At Corning, jobs usually come down by about day 42.
From 4,444 similar postings that came down, and 75 of Corning’s. Coming down is not always a hire.
Corning is hiring
29 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C#
- C++
- MATLAB
- Python
- R
- SQL
- AWS
- Azure
- DuckDB
- Power BI
- Flask
- pandas
- Polars
- PySpark
- PyTorch
- Streamlit
- TensorFlow
Where the posting names them
• 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
• 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
• 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
• 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
• 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
Your next step
Complete your application on corningjobs.corning.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
- Images (.jpg) aren’t accepted as a resume.
Already applied? Track this application
Has Corning posted this job before?
Yes. We’ve followed one other Senior Engineer, Machine Learning job there since April 2026. It came down after 25 days.
About Corning
- People
- About 14,968 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as GLW.
- H-1B visas
- 11 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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 accommodations@corning.com.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Durham, NC, US, 27712
Working pattern and location restrictions need checking in the full posting.
- Work authorization
• 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
More source context
• 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.