Machine Learning Engineer

LOCATION

Fully remote with the opportunity of working in a co-working space local to you.

ABOUT

CATCHES is a SaaS start-up backed by some of the most influential names in luxury fashion globally. We blend advanced 3D rendering, Artificial Intelligence (AI) and Visual Effects (VFX) techniques to deliver unparalleled shopping experiences for luxury fashion.

ROLE

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team revolutionising the creation of complex digital assets for the fashion industry. The ideal candidate will have a deep understanding of machine learning algorithms, computer vision, and 3D modelling. This role involves developing, optimising and deploying machine learning models that enhance creation, simulation, and customisation of complex digital assets.

Responsibilities:

• Design, develop, and implement machine learning models for digital asset simulation and analysis.
• Process and analyse 3D models, texture data, and motion capture information.
• Develop and maintain scalable machine learning pipelines for asset rendering and simulation.
• Collaborate with cross-functional teams, including 3D artists and software developers, to integrate machine learning solutions into existing workflows.
• Optimise algorithms for performance and scalability to handle large datasets of 3D assets.
• Stay up-to-date with the latest advancements in machine learning, computer vision, and 3D modelling.

Requirements:

• Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and deploying machine learning models.
• Proficiency in Python and experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Knowledge of 3D modelling and computer graphics concepts.
• Experience working with 3D data, such as meshes, textures, and animations.
• Familiarity with version control systems like Git.

Preferred Qualifications:

• Experience with 3D fashion design tools (e.g. CLO3D, Marvelous Designer) is a plus.
• Familiarity with GANs (Generative Adversarial Networks) and neural rendering.
• Experience in cloth technology or textile simulation.
• Experience with cloud platforms (e.g., AWS, Google Cloud) for model deployment and scaling.

What working with CATCHES is like:

• Fully remote-first, async-friendly, with optional co-working allowances.
• High-trust, low-bureaucracy environment that values experimentation and shipping.
• Early influence on product, architecture and engineering culture.
• A small, experienced team that cares about sustainable pace.
• Cutting-edge tech, luxury-fashion creativity, and game-industry scale challenges combined.