Tryndbuy Fashion · 7 hours ago
Lead – Computer Graphics & Computer Vision (Global Research-to-Product Role)
PointAI is building the next generation of visual intelligence for the global fashion industry, and they are looking for an exceptional Lead in Computer Graphics & Computer Vision. This role involves transforming cutting-edge research into scalable product prototypes that redefine how millions of people experience fashion online.
Artificial Intelligence (AI)E-CommerceFashionShopping
Responsibilities
Lead hands-on development of advanced prototypes in computer graphics and computer vision : from ideation → experimentation → iteration → initial product builds
Design and implement both:
Classical vision pipelines (image processing, geometry, segmentation, pose estimation, 3D reconstruction), and
AI-driven models (CNNs, Vision Transformers, multimodal and foundation models)
Apply visual technologies to product-ready use cases such as:
Virtual try-on systems
Catalog image understanding
Pose and garment mapping
AR/VR fashion experiences
Visual personalization and styling intelligence
Collaborate closely with Product, Engineering, Design, UX, and Data Science teams to integrate research outcomes into real applications
Define the technical roadmap for vision and graphics: evaluate emerging research and propose new directions (generative vision models, foundation models, graphics-augmented AI)
Build partnerships with academic labs, open-source communities, and research institutions to stay ahead of the state-of-the-art
Produce high-quality documentation of experiments, architectures, and production modules; contribute thought leadership internally and externally
Qualification
Required
Bachelor's in Engineering and preferably Master's or PhD in Computer Science, Electrical Engineering, Computer Vision, Graphics, or related field from top-tier institutions (e.g., MIT, Stanford, Oxford, ETH Zurich, CMU, IITs, IISc, NUS, Tsinghua, etc.)
5+ years of hands-on experience in computer vision and/or computer graphics, ideally including time in a research lab or innovation environment (e.g., Microsoft Research, Google Research, IBM Research, Meta AI, Adobe Research, or university research groups)
Strong foundations in: Image processing, Feature extraction, Geometry and 3D vision, Segmentation, pose estimation, reconstruction
Proven experience with modern AI vision models: Deep learning architectures, Vision Transformers, Multimodal and foundation models, Large-scale training and fine-tuning
Excellent programming skills in Python and C++, and frameworks such as OpenCV, PyTorch, TensorFlow
Ability to bridge research and production — comfortable with rapid prototyping, experimentation, and deployment planning
Strong analytical thinking, creativity, and problem-solving ability
Excellent communication and leadership skills, with the ability to mentor and guide technical teams
Preferred
Experience in fashion-tech or retail-tech (virtual try-on, digital catalogs, AR/VR apparel systems)
Publications at top conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS or strong open-source contributions
Experience with generative models (NeRFs, 3D garment modeling, simulation pipelines)
Exposure to deploying vision systems in production (mobile, edge, cloud, real-time constraints)
Experience working in global, multi-geography environments
Company
Tryndbuy Fashion
Tryndbuy develops "virtual try-on" technology which creates realistic 3D body models and allows customers to try on the products virtually on their own body model while shopping online.