Machine Learning Modeling Engineer

Corning, NY, US, 14831

Live, first seen by us 85 days ago

Pay: $91,311–125,553/yearAnnual period assumed — pay source
This position supports 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.
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Work setting: Not stated
Employment: Not stated

Before you apply

Work authorization: Sponsors visas

What you’ll work on

Full posting

Develop machine learning, deep learning, and generative AI models for research and product work
Prepare data, run exploratory analysis, and build and refine models for products
Define project requirements with scientists, engineers, and business stakeholders
Explain modeling results and recommendations to stakeholders
Write technical documentation and mentor new engineers and scientists

From the employer’s posting

Develop advanced machine learning, deep learning, and generative AI models in support of research, engineering, and product development initiatives.

Prepare data, perform exploratory data analysis, and develop, test, and refine machine learning models to support Corning products at different stages of development.

Partner with scientists, engineers, and business stakeholders to define project requirements

clearly communicate findings, implications, and recommendations to stakeholders

Write and maintain technical documentation, provide user training as needed, and mentor new engineers and scientists.

Education & alternatives

Experiences/Education - Required • MS or PhD required in engineering, computer science, mathematics, statistics, or related discipline, with specialization in machine learning and artificial intelligence. • Background in one or more scientific disciplines such as physics, chemistry, or engineering required. • Experience preparing data for machine learning and performing exploratory data analysis independently. • Deep knowledge of machine learning techniques, including traditional machine learning, deep learning, convolutional neural networks, recurrent neural networks, generative models, and reinforcement learning algorithms. • Practical experience using machine learning and deep learning frameworks such as PyTorch or TensorFlow. • Familiarity with generative AI tools and frameworks. • Strong mathematical and programming skills using Python. • Comfortable working in Windows, Linux parallel processing cluster environments, and Databricks. • Strong communication skills and ability to work effectively with scientists, engineers, and technical stakeholders. • Ability to work independently and in a team environment while managing multiple priorities. Experience Preferred

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Posting record

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Status in our records: Live
First seen by us: Aug 11, 202685 days ago
Recorded sightings: 880
Last seen by us: Nov 4, 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

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.

Time since we first saw it

Day 85

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. 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 at a steady pace
Takes jobs down at a usual pace

Hiring record

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.

Python
Databricks
Delta Lake
PyTorch
TensorFlow

Where the posting names them

Experiences/Education - Required • MS or PhD required in engineering, computer science, mathematics, statistics, or related discipline, with specialization in machine learning and artificial intelligence. • Background in one or more scientific disciplines such as physics, chemistry, or engineering required. • Experience preparing data for machine learning and performing exploratory data analysis independently. • Deep knowledge of machine learning techniques, including traditional machine learning, deep learning, convolutional neural networks, recurrent neural networks, generative models, and reinforcement learning algorithms. • Practical experience using machine learning and deep learning frameworks such as PyTorch or TensorFlow. • Familiarity with generative AI tools and frameworks. • Strong mathematical and programming skills using Python. • Comfortable working in Windows, Linux parallel processing cluster environments, and Databricks. • Strong communication skills and ability to work effectively with scientists, engineers, and technical stakeholders. • Ability to work independently and in a team environment while managing multiple priorities. Experience Preferred

Experience Preferred • Background in time series, computer vision, natural language processing, physics-informed neural networks, or uncertainty quantification. • Track record of journal or conference publications in relevant technical fields. • Knowledge of emerging technologies and algorithms in AI/ML. • Experience with physics-based modeling and ability to analyze, optimize, and debug scientific code. • Experience building scalable data analytics solutions. • Experience with Databricks Workflows, Delta Lake, and data governance frameworks. • Foundation in software design principles and ability to design and develop applications as needed. • Demonstrated ability to support multiple projects in a fast-paced technical environment. • Strong motivation, attention to detail, and commitment to advancing beyond the current state. This position supports immigration sponsorship.

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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

View original posting ↗

Requisition Number: 76873

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

THIS POSITION IS LOCATED IN CORNING, NY

Role Purpose

The Machine Learning Modeling Engineer develops advanced machine learning and AI solutions to support product and process design, development, and innovation across Corning. This role provides data analytics, modeling, and software development support to help solve critical technical problems, improve decision making, and create novel computational methods that strengthen Corning’s competitive advantage.

Key Responsibilities

• Develop advanced machine learning, deep learning, and generative AI models in support of research, engineering, and product development initiatives.
• Partner with scientists, engineers, and business stakeholders to define project requirements, identify opportunities for analytics and machine learning, and translate technical needs into effective modeling solutions.
• Prepare data, perform exploratory data analysis, and develop, test, and refine machine learning models to support Corning products at different stages of development.
• Interpret modeling and analytical results in research, engineering, and business context and clearly communicate findings, implications, and recommendations to stakeholders.
• Support software development and computational modeling efforts related to data analytics, machine learning, and scientific computing.
• Research and improve applicable technologies while helping expand Corning expertise in emerging AI/ML methods and related technical areas.
• Write and maintain technical documentation, provide user training as needed, and mentor new engineers and scientists.
• Support multiple projects and collaborate across teams to deliver effective and scalable analytics and machine learning solutions.

Experiences/Education - Required

• MS or PhD required in engineering, computer science, mathematics, statistics, or related discipline, with specialization in machine learning and artificial intelligence.
• Background in one or more scientific disciplines such as physics, chemistry, or engineering required.
• Experience preparing data for machine learning and performing exploratory data analysis independently.
• Deep knowledge of machine learning techniques, including traditional machine learning, deep learning, convolutional neural networks, recurrent neural networks, generative models, and reinforcement learning algorithms.
• Practical experience using machine learning and deep learning frameworks such as PyTorch or TensorFlow.
• Familiarity with generative AI tools and frameworks.
• Strong mathematical and programming skills using Python.
• Comfortable working in Windows, Linux parallel processing cluster environments, and Databricks.
• Strong communication skills and ability to work effectively with scientists, engineers, and technical stakeholders.
• Ability to work independently and in a team environment while managing multiple priorities.

Experience Preferred

• Background in time series, computer vision, natural language processing, physics-informed neural networks, or uncertainty quantification.
• Track record of journal or conference publications in relevant technical fields.
• Knowledge of emerging technologies and algorithms in AI/ML.
• Experience with physics-based modeling and ability to analyze, optimize, and debug scientific code.
• Experience building scalable data analytics solutions.
• Experience with Databricks Workflows, Delta Lake, and data governance frameworks.
• Foundation in software design principles and ability to design and develop applications as needed.
• Demonstrated ability to support multiple projects in a fast-paced technical environment.
• Strong motivation, attention to detail, and commitment to advancing beyond the current state.

This position supports 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.

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Pay

This position supports 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