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.