Physics AI Machine Learning Engineer

Job overview

The Physics AI Machine Learning Engineer role is onsite in Denver, CO. The posting lists a salary range of $96,645–$157,000 per year. The role supports EMA3D’s Physics AI team, which develops machine-learning tools for electromagnetic simulation and integrates them into the EMA3D Connect platform. The engineer builds and evaluates models and production pipelines that accelerate numerical simulation for engineering workflows. The work combines scientific data preparation, physics-informed model evaluation, collaboration across technical disciplines, and deployment into simulation software and visualization tools.

What you'll do

• Develop and train machine-learning models that augment or accelerate electromagnetic numerical simulation
• collaborate with physicists, engineers, and software engineers on architectures for scientific data
• build preprocessing, feature extraction, and dataset-management pipelines
• evaluate accuracy, stability, generalizability, and interpretability
• deploy models into production workflows and integrate them with simulation software and visualization tools
• track developments in scientific machine learning, physics-informed ML, and agentic AI.

What we're looking for

Skills & competencies

physics ai

machine learning engineer

denver co

ema3d

electromagnetic simulation

scientific machine learning

python

pytorch

simulation data

surrogate models

production ml

$96,645–$157,000/year

Work arrangement

• Weekend coverage required

Why this role

The team is new, and the posting notes that strong direction may not always be defined. Python and PyTorch proficiency are requested; C++ experience is a plus.

About the employer

ELECTRO MAGNETIC APPLICATIONS INC is hiring for this role. Industry: Engineering Services. Sector: 54.