Job Description: Do you like to apply Modeling & Simulation (M&S) and Machine Learning (ML) concepts in the development and optimization of high-speed manufacturing processes (virtual manufacturing) in the consumer goods industry? Do you like to solve manufacturing challenges? How would you like to turn on your creative genius and problem-solving to develop Digital Twins for virtual qualification, optimization of current manufacturing processes and predicting future state and design next generation autonomous manufacturing systems that deliver superior quality products and packages for consumers? If this sounds like fun, we are looking for someone with your skills and abilities.
As an M&S + ML Engineer, you will use modern data analysis and ML approaches in combination with engineering first principles in different fields such as Mechanical, Electrical, Chemical, metallurgical etc and physical data to help us to develop and understand complex manufacturing systems. This work is foundational to developing Digital Twins for virtual qualification and real time manufacturing and warehouse optimization. You will also develop fast surrogate models of complex engineering processes that will require the combination of Advanced M&S tools of Finite Element Analysis, Computational Fluid Dynamics, Production System Modeling with ML and physical data. You will be working with a highly talented cross-functional team of R&D scientists and engineers with expertise in R&D, manufacturing processes and data infrastructure. You will also Balance in-house development against turnkey solutions with best-in-class partners and own the build/buy recommendation and the technical due diligence behind it.
This role has a unique ability to use the power of ML in combination with M&S to deliver insights and drive end to end thinking starting from raw material to manufacturing processes to final product as delivered to our consumers. Ultimately you will be turning insights derived from ML + M&S into actionable recommendations that drive business value.
Job Qualifications
We are seeking individuals with a master’s or PhD degree in an engineering discipline and demonstrated practical experience and/or publications applying artificial intelligence and machine learning (AI/ML) in combination with engineering principles to solve complex engineering problems. Candidates with advanced degrees in computer science, statistics, applied mathematics, or a related quantitative field may also be considered, provided they have demonstrated practical experience and/or publications applying AI/ML to engineering problems.
If you are a good fit for the M&S + ML Engineer role, you will have
Strong foundation in any branch of Engineering (Mechanical, Chemical, Material Science, Electrical, Metallurgical, Aerospace etc)
Hands on coding experience and mastery in one or more languages (Python, R, C++), knowledge in either Python or R is required.
Experience using AI-assisted software development tools, such as GitHub Copilot, to develop, test, and document engineering applications
Demonstrated expertise in analysis of large data sets (“big data”) to deliver actionable insights from data
Demonstrated expertise in combining first principles concepts/science in any field of engineering with advanced ML approaches to develop surrogate models
Prior experience and/or strong interest in “real world” problems. This includes knowledge of manufacturing processes and data infrastructure.
Strong communication skills. The candidate is the link between “incomprehensible” data and engineers who need to act on new insights. This requires both, listening skills to understand the problem to help with, as well as ability to build trust, explain context, and potential solutions.
Our manufacturing platforms are running on Integrated Control Systems. Interest or experience in these will also be a plus
Preferred Specialties/Area of Research
ML, including Deep Learning
Engineering background with ML specialization &/or research publications
Data Mining (such as data preparation, regression, classification tools, SVM)
Optimization (global, local, stochastic methods)
Model Reduction, Dimensionality Reduction
Data bases and data processing
Preferred Experience with Analytical Tools/Applications
Unix/Linux
Scientific Computing: R, Python, C++, Java, Scala
Deep Learning frameworks: Keras, TensorFlow
High-Performance Parallel and Distributing Computing (CPU and GPU)
Data Visualization
Data Management Systems
About us
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
Visit http://www.pg.com to know more.
We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.”
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