Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
Develop, finetune, and optimize foundation models (LLMs, diffusion models, multimodal models) on large-scale datasets for CAD/design applications
Develop new or improve existing ML models used in CAD software
Process data and analyze feature extractions and model behaviors
Design solutions based on error analysis and model performance evaluation
Present results to collaborators, stakeholders and leadership across research and engineering teams
Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
Partner with research teams to transition cutting-edge models into production systems
Monitor and improve model performance in production environments

BSc or MSc in Computer Science or related fields
3+ years of deep learning model development and deployment in production scenarios
Proficiency with modern deep learning techniques (e.g. deep learning model architectures, regularization techniques, learning techniques, loss functions, optimization strategies, etc.) as well as frameworks (e.g. PyTorch, Lightning, Ray, etc.)
Experience with version control, reproducibility, and writing reusable, testable code
Experience with data modelling, architecture, and processing using varied data representations, including 2D and 3D geometry
Experience with cloud services and architectures (e.g. AWS, Azure, GCP)
Excellent written documentation skills to document code, architectures, and experiments

Senior Machine Learning Engineer

Key skills