Member of Technical Staff, Applied AI

📋 Description

• Apply AI/ML to real-world physics problems for customers.
• Build ML models, simulations, and digital twins for production use.
• Create demos and dashboards showing engagement results.
• Translate real-world data into clean ML inputs and ingestion pipelines.

🎯 Requirements

• 5+ years building ML systems in production with physics/engineering background.
• Strong physics literacy in at least one quantitative domain.
• Proven ability to ship ML models, simulations, or digital twins under real-world distribution.
• Customer-facing engineering instincts; communicate with PhD researchers and practitioners.

🎁 Benefits

• PhD or master's in physics, applied physics, engineering, or quantitative field.
• Hands-on with OpenFOAM, Ansys, COMSOL, or similar tools.
• Experience with digital twins, physics-informed neural networks, or neural operators.
• Meaningful early-stage equity.