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.