Senior Physics AI Engineer - Multi-Physics & ML

McKinsey & Company; Boston (MA); On-site; USD 163,000 - 221,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Mentorship and growth opportunities

Job summary

McKinsey & Company seeks a highly skilled scientist to lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins. You will develop surrogate and machine learning models and apply physics-informed machine learning to real-world engineering systems.

You will deploy scalable production tools on HPC infrastructure and translate computational insights into strategic recommendations that deliver measurable client impact.

Qualifications

• Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply
• Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++)
• Demonstrated fluency with statistical sampling, machine learning, and data science techniques
• Simulation experience, Pytorch, ML/AI/Data Science a plus
• Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion
• Strong communication skills, both verbal and written, in English and local office language(s)
• Ability to travel to and work in varying environments that may be challenging and/or not accessible

Responsibilities

• Lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins
• Develop surrogate and machine learning models and apply physics-informed ML to real-world systems
• Deploy scalable production tools on HPC infrastructure
• Translate computational insights into strategic recommendations and solutions that deliver measurable impact for clients

Skills

Python

C++

Machine learning

Data science

English communication

Education

M.S. or Ph.D. in computational mechanics or related field

Tools

Pytorch

Simulation frameworks

Job description

McKinsey & Company seeks a highly skilled scientist to lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins. You will develop surrogate and machine learning models and apply physics-informed machine learning to real-world engineering systems.

You will deploy scalable production tools on HPC infrastructure and translate computational insights into strategic recommendations that deliver measurable client impact.