We’re hiring a creative & driven Machine Learning Engineer to help us redefine digital experiences at the intersection of fashion, generative AI, and computer graphics. You will be a key member of our high-energy R&D team, responsible for designing, building, and deploying the cutting-edge models that will power the next generation of e-commerce and entertainment.

Responsibilities:

• Design, train, and deploy a range of machine learning models, with a focus on generative AI and computer vision.
• Collaborate closely with researchers to productionise and prototype novel solutions for consumer facing use cases at scale.
• Develop and maintain robust, scalable machine learning pipelines for data processing, training, and inference.
• Optimise models and algorithms for performance to handle large, multimodal datasets.
• Stay at the forefront of ML & AI research, applying the latest techniques to solve unique and challenging problems.

Requirements:

• Proven experience developing and deploying machine learning models in a production environment.
• Strong programming skills in Python & familiarity with ML frameworks (PyTorch or TensorFlow).
• Solid understanding of ML fundamentals and modern deep learning architectures (e.g., Transformers, CNNs).
• A passion for applying ML to new, creative domains and an eagerness to learn about the challenges in computer graphics and 3D.

Nice to have:

• Hands-on experience optimising large models (e.g., diffusion models, LLMs, VLMs).
• Experience with MLOps tools and cloud platforms (e.g., Docker, Kubernetes, AWS/GCP).
• Familiarity with 3D data formats & computer graphics libraries is a plus, but not required.