Note: The job is a remote job and is open to candidates in USA. CATCHES builds physics-backed AI for garment simulation and virtual try-on, used by luxury fashion brands. The role involves working directly with image and video models, focusing on quality, consistency, and performance at production scale to deliver outputs for a global audience.

Responsibilities

• Owning quality, consistency, and performance at production scale
• Fine-tuning, optimising inference, and making deliberate choices about model architecture and tooling
• Evaluating and iterating on visual outputs with a rigorous, metrics-driven approach

Skills

• Strong hands-on experience with diffusion-based image and/or video generation models
• Proven ability to optimise VLMs for performance, quality, and consistency in production environments
• Experience fine-tuning or adapting foundation models for specific domains or outputs
• Solid Python skills and familiarity with model serving and inference infrastructure
• Ability to evaluate and iterate on visual outputs with a rigorous, metrics-driven approach
• Hands-on experience with FLUX and/or LTX
• Familiarity with ControlNet, IP-Adapter, or similar conditioning approaches
• Experience with video generation frameworks and temporal consistency techniques
• Knowledge of garment, fashion, or e-commerce visual generation use cases
• Experience with cloud-based GPU inference (GCP, AWS, or equivalent)

Company Overview