Postdoctoral Researcher, CAD Generation Machine Learning

In collaboration with the other researchers in the department and the stakeholders, you will: (1) scope the project to align to the core research efforts; (2) be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors; (3) execute the project using TRI resources; and (4) present the project’s approach and findings in research meetings.

• PhD in Computer Science, Machine Learning or related fields. • Experience working with CAD data such as B-rep and step-file. • Experience working with relevant libraries such as pythonocc-core for primitive fitting. • Experience with multimodal generative models for boundary representations. • Track record of executing research projects including publications at top venues including but not limited to CVPR, ICCV, TOG, SIGGRAPH, NeurIPS. • Desire to work on challenging open-ended research projects. • Demonstrated ability to work autonomously while soliciting feedback. • Excellent communication and teamwork skills. • Experience with developing research software prototypes. • Experience adapting pre-trained models to specific tasks or domains through fine-tuning or similar techniques. • Experience with working with CAD development tools, libraries, and/or API.