Corning is vital to progress – in the industries we help shape and in the world we share.
We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.
Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.
The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end-to-end business processes and associated information integration technologies. Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT-enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost-efficient manner to Corning worldwide.
Scope of Position:
The Principal ML (Machine Learning) Engineer, IT Manufacturing will be part of a core solution development team working with domain experts, application developers, controls engineers, data engineers, and data scientists. Their primary responsibility will be to design and develop solutions using machine learning or deep learning models and to productionalize them. These systems & solutions will span both cloud and on-premises environments and will require close collaboration with many technical teams to ensure success.
Responsibilities include but are not limited to:
- Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to solve business problems.
- Designing and implementing portable, modular, instrumented, and highly performant data contextualization pipelines from landed and cleansed, batch and streamed unstructured data, using Apache Spark, Delta Lake, and/or Databricks.
- Designing and implementing portable, modular, instrumented, and highly performant model deployment pipelines for many types of machine learning including supervised and unsupervised learning as well as CNNs, RNNs, or other deep learning algorithms.
- Working closely with domain expert data scientists, process, and controls engineers, both within and outside the company to understand and automate transformation, normalization, and other contextualization operations based on the types of analytics being performed on the inbound datasets, as well as model performance management requirements and design suitable inferencing instrumentation systems and practices that meet them.
- Working with your fellow developers using agile development practices, and continually improving development methods with the goal of automating the build, integration, deployment, and monitoring of production inferencing and dataset delivery systems.
Education Requirement:
- Advanced Degree: A master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is preferred.
Required Skills:
- Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing.
- Programming Skills: Proficiency in AI/ML programming languages such as Python or R. Experience with libraries like TensorFlow, PyTorch, or Keras is essential.
- Deep Learning Knowledge: Thorough understanding of neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other deep learning architectures.
- Familiarization with Generative Artificial Intelligence (GenAI), such as Large Language Models (LLMs), LangChain, HuggingFace, Retrieval Augmented Generation, etc.
- Understanding of ML model lifecycle, experience working with MLflow, and a demonstrated ability to lead architecture efforts for its implementation.
Desired Skills:
- Strong leadership and excellent verbal and written communications skills, with the ability to develop and sell ideas.
- Research Skills: Ability to stay updated with the latest research papers and industry trends in generative AI (Artificial Intelligence).
- Cultural bias towards continual learning, sharing best practice, encouraging, and elevating less experienced colleagues as they learn.
- Industry Knowledge: Familiarity with manufacturing processes, industry standards, and relevant regulations. A degree or background in Industrial Engineering, Manufacturing Engineering, or related field can be helpful.
Location & Travel Requirement:
- Corning, NY (Hybrid) or Charlotte, NC (Hybrid) or near a Corning location.
- Travel requirement is up to 25% (US/Mexico).
This position does not support immigration sponsorship.
The range for this position is $151,968.00 - $208,956.00 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. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.
Corning Puts YOU First!
We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning.
- Our monetary peer-to-peer recognition program is tied to our Values and celebrates you and your colleagues’ contributions.
- Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance use, fitness, and disease management programs.
- Financial benefits include a 401(k) savings plan with company matching contributions and a 100% company-paid pension benefit that grows steadily throughout your career.
- Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities.
- Professional development programs help you grow and achieve your career goals.
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.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at accommodations@corning.com.
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