BJAK
eCommerce • Insurance • Marketplace
BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.
Machine Learning Engineer, Diffusion, Vision
November 20
BJAK
eCommerce • Insurance • Marketplace
BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.
📋 Description
• 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.
🎯 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. • Prior work in style transfer, personalization, or multimodal generation (nice to have). • Experience with safety alignment in generative vision (NSFW detection, adversarial testing) (nice to have). • Open-source contributions in diffusion or generative vision projects (nice to have).
🏖️ Benefits
• 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 • Lots of perks - housing rental subsidies, a quality company cafeteria, and overtime meals • Health, dental & vision insurance • Global travel insurance (for you & your dependents) • Unlimited, flexible time off
Apply Now