About the role
At Zori Tex, we're a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling. We have an established machine learning pipeline for textile and fibre detection and are currently refining our system ready for piloting and deployment.
This role is a unique opportunity for engineers or researchers who are passionate about AI, sustainability, and solving complex problems, with experience in deep tech integration. We are seeking individuals who are excited about working in an early-stage start-up environment, where resilience and problem-solving are key and where challenges are seen as opportunities to learn. The role has significant potential for growth, with the possibility of evolving into a leadership position for the right candidate.
Key Responsibilities:
Develop and optimise deep learning models.
Apply machine learning to complex hyperspectral imaging and RGB datasets.
Enhance dataset quality, including data augmentation and synthetic data approaches.
Apply machine learning and statistical techniques for spectral feature extraction.
Utilise gradient based explainability techniques.
Keep abreast of state of the art techniques and the latest research literature.
Work on inference efficiency and robustness for real-time processing.
Analyse and visualise data to assess model performance and improve prediction accuracy.
Dataset extension including acquisition, training and re-training to optimise configuration.
Collaborate with the technical and wider team to ensure seamless system integration and alignment with customer requirements.
Collaboration with external partners and experts to validate and optimise performance and robustness.
Support development of technical interns and/or the growing technical team.
About the company
At Zori Tex, we're a climate tech start-up on a mission to drive circularity in the fashion and textile industry. We are pioneering AI-powered textile waste sorting, combining machine vision and deep learning to optimise the availability of textiles for closed-loop recycling.
