Machine Learning Engineer

Join to apply for the Machine Learning Engineer (Diffusion / Vision) (Remote) role at BJAK We’re building AI systems for a global audience. This project team focuses on building applications to enable real‑world impact and high usage worldwide. The role is global 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. What You’ll Do Fine‑tune & Adapt – Train and customize 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 & 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 & Monitor – Ship diffusion‑powered features into production with monitoring for drift, latency, and quality. Collaborate & Deliver – Work with product and design to integrate generative vision capabilities into user experiences. What Is It Like Own ownership and independent thinking. Prototype, test, and iterate quickly. Stay calm amid startup chaos. Bias for speed: deliver valuable pieces now. Embrace feedback and failure as growth. Possess humility, hunger, and hustle, uplifting others. Requirements 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 transfer, personalization, or multimodal generation. Experience with safety alignment in generative vision (NSFW detection, adversarial testing). Open‑source contributions in diffusion or generative vision projects. What You’ll Get Flat structure & real ownership. Full involvement in direction and consensus decision making. Flexibility in work arrangement. High‑impact role with visibility across product, data, and engineering. Top‑of‑market compensation and performance‑based bonuses. Global exposure to product development. Housing rental subsidies, cafeteria, and overtime meals. Health, dental & vision insurance. Global travel insurance for you & dependents. Unlimited, flexible time off. Our Team & Culture We’re a dense, high‑performance team focused on high‑quality work and global impact. We behave like owners, value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us. About BJAK BJAK is Southeast Asia’s #1 insurance aggregator with 8M+ users, fully owned by its employees. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting‑edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems. If you’re excited to build real‑world AI systems and grow fast in a high‑impact environment, we’d love to hear from you. #J-18808-Ljbffr