Machine Learning Engineer - IT Manufacturing

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Date: Sep 19, 2023

Location: Charlotte, NC, US, 28216

Company: Corning

Requisition Number: 61607

 

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.

 

Position Overview

 

The Machine Learning Engineer, IT Manufacturing will be a part of a core solution development team working with domain experts, application developers, controls engineers, data engineers and data scientists. 

Their primary responsibilities will be to design and develop solutions using machine learning or deep learning models and to productionalize them.  These systems & solution will span both cloud and on-premise environments and will require close collaboration with many technical teams to ensure success.

 

Responsibilities

As a Machine Learning Engineer, IT Manufacturing, your main responsibilities will be:

  • Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to solve business problems
  • Design and implement portable, modular, instrumented and highly performant data contextualization pipelines from landed and cleansed, batch and streamed unstructured data, using Apache Spark, Deltalake and/or Databricks
  • Design and implement 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
  • Work 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
  • Work 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 & Experience

  • Advanced degrees in computer science and data science strongly preferred, though an equivalent level engineering, data science or mathematics degree, a technical undergraduate degree and relevant experience will also be considered
  • Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing
  • Programming proficiency in, at least, one modern JVM language (e.g. Java, Scala) and at least one other high-level programming language such as Python, R
  • Understanding of Machine Learning model lifecycle, experience working with Machine Learning flow and a demonstrated ability to lead architecture efforts for its implementation
  • Strong technical collaboration and communication skills
  • Unwavering commitment to coding best practice and a strong proponent of code review
  • Cultural bias towards continual learning, sharing best practice, encouraging and elevating less experienced colleagues as they learn

 

Qualifications & Skills

  • Strong relationship building skills
  • Proven success working in highly matrix environments.
  • Excellent analytical and decision-making abilities.
  • Must demonstrate a proven willingness to go the extra mile, to take on the things that need to be done and maintain a positive attitude that can adapt to change.
  • Strong leadership and excellent verbal and written communications skills, with the ability to develop and sell ideas.

 

This position does not support immigration sponsorship.  

 

The range for this position is $84,209.00 - $115,788.00.  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 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.

 

 


Nearest Major Market: Charlotte