Embedded Machine Learning Internship Jobs in Charlotte, NC

Requisition Number: 75896

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

About the Role and the Digital Finance Program

The Digital Finance Analyst is an embedded member of a Finance delivery team and a participant in Corning's Digital Finance Program (DFP) - an investment in the next generation of finance talent that combines analytical depth, software fluency, and modern data platforms to deliver insight at scale. This position sits within the Finance Function and supports digital transformation across corporate finance and the enterprise. You will enter the program with technical depth and be systematically developed in financial acumen through structured project assignments, embedded learning, and real project ownership - staffed on cross-functional finance projects with a continuous analytics thread, delivering real business outcomes on Corning's data platform. Participants work in close partnership with the DSI Core Team - Corning Finance's centralized AI/ML and data science group - who set technical standards, provide design guidance, and govern code quality for the solutions delivery teams build. This is not a traditional finance role - it is a deliberate investment in people who think in systems, code, and data, and who want to use those instincts to drive business decisions. Financial training is built into the program; no prior finance experience is required. Activities are performed in accordance with relevant accounting principles, standards, and reporting requirements. The role is a hybrid role, with an opportunity to combine remote and on-site work at Corning's headquarters in Corning, NY or at the Charlotte, NC office.

Career Path

Upon successful completion of the Digital Finance Program, participants will be placed as a Financial Analysts in a quantitative capacity within Corning's Finance organization, applying the technical and financial skills developed during the program to drive data-informed decisions across the function.

Day to Day Responsibilities

• Build and maintain financial models and automated reporting pipelines in Databricks using Python and SQL.
• Design and contribute to Gold-layer finance datasets sourced from operational systems across manufacturing, supply chain, and commercial functions.
• Support FP&A, Accounting, and Business Unit Finance teams with data analysis, variance commentary, and forecast automation.
• Apply machine learning-assisted techniques - including anomaly detection and cost forecasting - to enhance the predictive value of financial outputs.
• Co-develop self-service dashboards for finance and business stakeholders, replacing manual reporting with governed, reusable analytical assets.
• Lead tracking of financial and/or operational metrics and performance, summarizing findings for stakeholders.
• Assist with internal financial reporting, perform comprehensive trend analysis, and lead data mining against governed finance datasets.
• Monitor daily operations of a unit, actively assist to resolve issues, and escalate as appropriate.
• Analyze and prepare financial and budgetary reports, contributing potential insights.
• Execute and support internal and external controls.
• Perform complex, undefined ad hoc analyses and assigned requests from senior management, leveraging data, automation, and a developing understanding of financial responsibilities within an assigned business unit.
• Complete a capstone project that identifies a high-effort manual finance process, automates it on the platform, and quantifies the business impact.

Required Work / Education

• BS or MS degree in Computer Science, Data Science, Finance, Economics, Statistics, Engineering, or a related quantitative field.
• A minimum of 1 year in a data, analytics, software, or technology role. No prior finance experience required - financial training is built into the program.
• Coursework or demonstrated interest in business, economics, or accounting is a plus.

Required Qualifications

• Proficiency in Python and SQL for data manipulation, automation, and analysis.
• Experience with cloud-based data platforms; Databricks experience is a strong differentiator.
• Familiarity with Git and notebook-based development.
• Practical experience using AI Code Assistants (e.g., Copilot, Claude) to accelerate development.
• Ability to build dashboards or visualizations for analytical decision support.
• Experience analyzing data, synthesizing insights, and communicating results to varied audiences.
• Experience using data mining tools and methodologies to produce trend analysis and perform ad hoc research.
• Experience resolving issues related to data analysis and report preparation.
• Experience supporting components of ambiguous and unstructured requests, assisting with obtaining and analyzing data.
• Experience coordinating with and communicating technical concepts to non-technical audiences (e.g., finance, operations, production, floor supervisors) to execute projects.
• Experience developing strategic networks outside of one's home function to build manufacturing and production process expertise.
• Genuine curiosity about why businesses make decisions, not just what the data shows.
• Comfortable structuring ambiguous problems and working without a predefined playbook.
• Collaborative by default - comfortable working across finance, data engineering, and operations.

Desired Qualifications

• Experience contributing to components of large projects.
• Experience working with colleagues from other business units and divisions.
• Experience mentoring peers or providing technical guidance to junior team members.
• Experience creating and delivering presentations for business discussions or training and helping synthesize main findings.

This position does not support immigration sponsorship.

The range for this position is $91,634.00 - $125,950.00 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. 

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.