Research Scientist – Geometry, Machine Learning

Responsibilities

• Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
• Build services for reading, processing, and writing 2D/3D engineering data.
• Develop rendering modules for generating 2D/3D visual assets.
• Curate and manage large-scale datasets for learning‑based systems.
• Implement and optimize post‑training workflows for machine learning models.
• Contribute to the development of domain‑specific languages for engineering tasks.

Requirements

• 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain‑Specific Languages.
• BSc or MSc in Computer Science, Engineering, or a related field.
• Proficient in writing clean, modular, and maintainable Python code.
• Experience with dataset creation and data pipeline development.
• PhD or MS with a focus in Computational Design, Simulation, or AI.
• Experience developing CAD/CAM/CAE software tools.
• Experience developing or fine‑tuning large language models (LLMs), including post‑training methods such as quantization, pruning, distillation, or reinforcement learning.
• Experience designing or implementing DSLs or compilers.