CATCHES are a pre-seed start-up backed by some of the most influential names in luxury fashion globally. We've partnered with the global leaders in cloud computing and AI to integrate advanced 3D rendering, Artificial Intelligence (AI) and Visual Effects (VFX) techniques to create unparalleled shopping experiences for luxury fashion and exclusive events.
Working at CATCHES
- Remote working with some in person collaboration (London)
- Equity opportunity in pre-seed cutting edge tech firm with household name backers.
- Highly collaborative and motivated team with depth and breadth of experience across Video Games, Films and Tech.
The role
A senior machine learning engineer role in our founding team working on company-wide initiatives across computer vision, preference learning and principal component analysis for 3D anthropometric data.
This would suit an ML expert seeking a high-level of ownership over key problem areas to apply their breadth of experience across Data, ML and AI.
Responsibilities
- Build and implement ML models for data extraction.
- Implement and optimise algorithms for anthropometric estimations
- Build and implement domain specific learning systems
- AI research
Requirements
- Advanced proficiency in Python for developing and integrating machine learning solutions.
- Strong knowledge of machine learning frameworks like PyTorch, TensorFlow, or similar.
- Proficiency in creating and managing diverse datasets, including synthetic data generation and augmentation.
- Familiarity with training machine learning models for real-world applications.
- Experience in building APIs for internal or external use.
- Computer Graphics: Understanding of fundamental concepts of 3D graphics such as rendering, mesh construction and the interpolation of lines and curves for accurate visual representation.
