Manufacturing 4.0 Program Manager

请求数:49805

Corning is the world leader in specialty glass and ceramics, building and manufacturing keystone components that enable high-technology systems. Corning’s history is filled with breakthrough technologies that have played a meaningful role in the way the world works. We thrive on solving difficult, commercially relevant problems through a creative and collaborative research and development process.

Corning succeeds through sustained investment in R&D, more than 160 years of materials science and process engineering knowledge, and a distinctive reciprocal culture. Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering perfection & innovative manufacturing technologies by providing diverse skills to Corning’s existing & emerging businesses. We anticipate & provide timely, valued, leading edge manufacturing technologies and engineering expertise. We partner with Corning’s businesses and the Science & Technology division. Together we build and sustain Corning’s manufacturing as a differential advantage.

Corning Incorporated focuses on building a diverse global workforce where differences are celebrated, and employees feel safe bringing their “whole selves” to work. Our Diversity Network hosts 18 active and distinctive Employee Resource Groups. Employees have access to Allyship resources, podcasts, an internal video channel, digital learning series and trainings, all focused on building and celebrating global diversity and inclusion. Corning has been recognized as a leader in this regard and has been consistently recognized as a national employer of choice.

Scope of Position:

• Provide leadership and strategic direction for Manufacturing 4.0 critical skills development.
• 领导跨职能团队识别和重击op the emerging capabilities that are needed for successful M4.0 projects, within existing disciplines such as manufacturing process engineering, analytics/ data science, modeling, data engineering, software development, controls, programming, systems engineering. Identify curriculum and methodologies to upskill and augment existing skill set, both within specific M4.0 projects and for more general use.
• Work with modeling and data scientists to improve the speed and efficiency of applying advanced data analytics methodologies to solve critical manufacturing challenges.
• Identify opportunities to apply advanced analytics, modeling and machine learning by understanding the business needs and developing project proposals to solve critical problems.
• Lead impactful Manufacturing 4.0 and analytics-based projects across multiple business groups

Day to Day Responsibilities:

• Lead cross-functional manufacturing & engineering projects that include the application of data analytics, machine learning, software development, and modeling.
• Interface with internal customers to identify areas of opportunity, define project specifications, and work with industry experts within and outside of Corning to expand our expertise in key emerging technology areas.
• Develop and implement strategies and programs to enhance skill sets that are and will be needed for M4.0 deployment and scale-up across Corning business divisions.
• Work independently or as part of the team on data preparation, machine learning model development and testing and/or software development & modifications in support of Corning products and manufacturing processes at different stages.
• Write and maintain relevant presentations, technical reports and support documentation, prepare and deliver relevant user training, and mentor new engineers and scientists.

Required Education:

• MS or PhD in engineering, computer science, mathematics and statistics, or a related discipline with specialization or industry experience in manufacturing 4.0 key technologies such as data analytics & machine learning.

Required Years and Area of Experience:

• 15+ years of work experience in development and deployment of machine learning models, such as data mining, time series modeling, computer vision, natural language processing, to solve both academic and business problems.
• Experience demonstrated through industrial leadership, academic research projects, compelling open-source project contributions or an impressive Kaggle scoreboard

Required Skills:

• Strong background in applying machine learning techniques to solve industrial problems, using traditional machine learning algorithms, time series & sequential event models with recurrent neural networks, convolutional neural networks, and reinforcement learning, etc.
• Good working knowledge of the work required to prepare data for machine learning purposes, performing exploratory data analysis, mathematical and programming skills such as Python, R and/or MATLAB.
• Comfortable working with Windows and Linux parallel processing clusters.
• Ability to communicate and understand the complex requirements of scientists, engineers and professional staff in the development and deployment solutions and to bridge gaps between “domain” language (engineering, science) and “computing solution” language.
• Strong interpersonal & presentation skills and ability to work as a leader, team player, or individual contributor.
• Must be a proactive and solution-oriented problem solver.
• Ability to lead projects, embrace and drive change

Desired Skills:

• Broad background in Manufacturing 4.0 capabilities such as IIOT, Edge/cloud computing, data lakes/ pipelines, manufacturing systems and advanced ML/AI and computer vision.
• Knowledge of emerging technologies and algorithms in computer vision and/or machine learning in general, such as attention algorithms, few-shot learning, etc.
• Experience working with cloud-based services such as AWS and/or Azure.
• Knowledge of any other programming languages for scientific computing in Windows and Linux environments (such as C/C++, C#, Java).
• 一个基础in software design principles and knowledge of MPI, OpenMP, or other parallel/distributed computing paradigms.
• Clear dedication to excellence and advancing beyond the current state.
• Strong personal motivation.

Travel Requirements:

• Individual may travel multiple times per year for one to two weeks per visit to other Corning locations or customers (domestic and international) or to pursue training opportunities (conferences, classes).

Sound like you? Apply now!

This position does not support immigration sponsorship.

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. Please contact us to request accommodation.

We prohibit discrimination based on race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, or veteran status or any other legally protected status.