Hybrid

Bjak is hiring a Machine Learning Engineer (Diffusion/Vision)

BJAK is hiring a Machine Learning Engineer focused on diffusion and generative vision. In this role, you will fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production to ensure models are safe, trustworthy, and impactful at scale. You'll work on building applications to enable real-world impact and high usage.

What You'll Do

  • Train and customize diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter-efficient methods.
  • Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
  • Develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.
  • Apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.
  • Ship diffusion-powered features into production with monitoring for drift, latency, and quality.
  • Work with product and design to integrate generative vision capabilities into user experiences.

What We're Looking For

  • 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.

Technical Stack

  • PyTorch
  • Stable Diffusion
  • SDXL
  • Flux
  • LoRA
  • QLoRA
  • DreamBooth

Team & Environment

You will join a flat structure where you have real ownership and full involvement in direction and consensus decision making. You will work closely with regional teams across product, engineering, operations, infrastructure and data.

Benefits & Compensation

  • 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.
  • Quality company cafeteria.
  • Overtime meals.
  • Health, dental & vision insurance.
  • Global travel insurance (for you & your dependents).
  • Unlimited, flexible time off.

Work Mode

This role operates on a hybrid work model and is based in Malaysia (HQ).

BJAK is committed to creating a diverse environment and is proud to be an equal opportunity employer.

Required Skills
PyTorchStable DiffusionSDXLFluxLoRAQLoRADreamBoothComputer VisionDeep LearningGenerative AIModel OptimizationPythonMachine Learning Engineering PyTorchStable DiffusionSDXLFluxLoRAQLoRADreamBoothComputer VisionDeep LearningGenerative AIModel OptimizationPythonMachine Learning Engineering
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About company
Bjak
Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Their main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage. They invest in technology such as Custom API, trading systems, and data science to enable easy access to financial services.
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Posted 8 months ago