Machine Learning Engineer
4 weeks ago
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.
- 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.
- Experience with safety alignment in generative vision (NSFW detection, adversarial testing).
- Open-source contributions in diffusion or generative vision projects.
- Flat structure and 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
- Perks such as housing rental subsidies, company cafeteria, and meals
- Health, dental, and vision insurance
- Global travel insurance (for you and your dependents)
- Unlimited, flexible time off
We’re a dense, high-performance team focused on high-quality work and global impact. We behave like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, join us.
About BJAKBJAK 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.
Role details- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Software Development
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