Machine Learning Engineer

4 days ago

Singapore BJAK Full time

Overview Machine Learning Engineer (Diffusion / Vision) role at BJAK . Transform Visual Models into Real-World Applications. We’re building AI systems for a global audience. This role is a global role with remote work arrangement. You’ll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions. Why This Role Matters: You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. Responsibilities Fine-tune and adapt diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods. Curate datasets: Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation. Evaluate and align: Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs. Optimize performance: Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling. Deploy and monitor: Ship diffusion-powered features into production with monitoring for drift, latency, and quality. Collaborate and deliver: Work with product and design to integrate generative vision capabilities into user experiences. Qualifications Strong experience with diffusion models and generative vision (Stable Diffusion, SDXL, Flux, etc.). Hands-on skills with DreamBooth, LoRA/QLoRA, and fine-tuning methods. Proficiency with PyTorch (preferred). Experience in dataset preparation (captioning, tagging, filtering, augmentation). Knowledge of GPU optimization, latent diffusion, and efficient training techniques. Strong foundations in software engineering, algorithms, and clean code practices. Nice to Have Prior work in style

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