Industrial Physics AI Engineer (Multi-Physics ML)

McKinsey & Company; Chicago (IL); On-site; USD 173,000 - 211,000; Full time

Job summary

McKinsey & Company is seeking a technically advanced professional to lead scientific AI initiatives within Advanced Industries. You will drive multi-physics simulations, digital twins, and ML models for industrial clients.

Applicants should hold an MS or PhD in a relevant field, have strong Python/C++ coding experience, and excel in communicating complex results to diverse stakeholders.

Qualifications

• Advanced graduate degree in a computational science field.
• Proven ability to develop high-quality engineering or scientific code in Python/C++.
• Fluency with statistics, ML, and data science techniques.

Responsibilities

• Lead technical workstreams on client engagements.
• Build multi-physics simulations and digital twins; develop surrogate models.
• Apply physics-informed ML to real-world engineering systems; deploy on HPC.

Skills

Computational mechanics expertise

Machine learning

Scientific programming

Strong communication

Data-driven decision making

Education

MS/PhD required

Tools

Python

C++

PyTorch

Job description

McKinsey & Company is seeking a technically advanced professional to lead scientific AI initiatives within Advanced Industries. You will drive multi-physics simulations, digital twins, and ML models for industrial clients.

Applicants should hold an MS or PhD in a relevant field, have strong Python/C++ coding experience, and excel in communicating complex results to diverse stakeholders.