Toyota Research Institute (TRI) is looking to improve the quality of human life and amplify the human experience through new tools and capabilities in mobility. The Future Product Innovation team specifically aims to accelerate design and engineering processes in the automotive industry using generative AI.
Requirements
- Experience working with CAD data such as B-rep and step-file
- Experience working with relevant libraries such as pythonocc-core, Shapely, TriMesh, Blender
- Experience with deep generative models for CAD generation applications
- 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
Responsibilities
- develop 3D shape generation techniques with applications to CAD such as point cloud to CAD and image to CAD
- Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors
- Execute the project using TRI resources
- Present the project’s approach and findings in research meetings
- Experience working with CAD data such as B-rep and step-file
- Experience working with relevant libraries such as pythonocc-core, Shapely, TriMesh, Blender
- Experience with deep generative models for CAD generation applications
Other
- Currently enrolled in a PhD program in Computer Science, Machine Learning (or related fields).
- 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.
