Corning
Machine Learning Modeling Engineer
Corning, New York · Full-time
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~30% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$12,107 more — $103,418 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $103,418 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Southwest New York nonmetropolitan area. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- 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?
- They break through limitations and expectations - not once in a career, but every day.
Responsibilities
- Write and maintain technical documentation, provide user training as needed, and mentor new engineers and scientists.
- Experience building scalable data analytics solutions.
- 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.
- This position supports immigration sponsorship.
Requirements
- Background in one or more scientific disciplines such as physics, chemistry, or engineering required.
- Experience with physics-based modeling and ability to analyze, optimize, and debug scientific code.
- Experience with Databricks Workflows, Delta Lake, and data governance frameworks.
Nice to have
- Experience Preferred
Skills
- 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
- Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions
Compensation
- $91k-$126k
Benefits
- 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.
- Support software development and computational modeling efforts related to data analytics, machine learning, and scientific computing.
- Support multiple projects and collaborate across teams to deliver effective and scalable analytics and machine learning solutions.
- MS or PhD required in engineering, computer science, mathematics, statistics, or related discipline, with specialization in machine learning and artificial intelligence.
- 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.
- Background in time series, computer vision, natural language processing, physics-informed neural networks, or uncertainty quantification.
Company info
- Corning's businesses are ever-evolving to best serve our customers, industries, and consumers.
- 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.
Visa & Work Authorization
- This position supports immigration sponsorship
This listing is sourced directly from Corning's careers page and normalized into a canonical job model.