Machine Learning Engineer (Diffusion / Vision)

Bjak; Petaling Jaya; Hybrid; MYR 60,000 - 90,000; Full time

Job summary

A leading AI company in Malaysia seeks a Machine Learning Engineer to develop cutting-edge generative vision features. You'll customize diffusion models and build large-scale datasets while collaborating closely with product and design teams. Strong experience in diffusion models and proficiency in PyTorch are essential. This role offers a competitive salary, flexible working arrangements, and opportunities for accelerated learning.

Benefits

Competitive salary

Performance-based bonuses

Flexible work arrangement

High-impact role

Flat organizational structure

Cross-border exposure

Qualifications

• Strong experience with diffusion models and generative vision.
• Hands-on skills with DreamBooth and fine-tuning methods.
• Proficiency with PyTorch and dataset preparation.

Responsibilities

• Fine-tune and customize diffusion models using various methods.
• Build and annotate large-scale image datasets for generation.
• Develop pipelines to measure output fidelity and safety.
• Optimize performance through GPU memory and training techniques.
• Deploy features into production and monitor performance.

Skills

Diffusion models

Generative vision

PyTorch

Dataset preparation

GPU optimization

Job description

Transform Visual Models into Real-World Applications

At Bjak, we’re building AI systems that reach millions across Southeast Asia. Our Machine Learning team is pushing the frontier of image generation, personalization, and safe deployment of diffusion models. From powering creative assets to enabling user‑facing visual tools, we make diffusion models fast, scalable, and aligned with our product vision.

This role is based in Malaysia with a hybrid work arrangement – combining flexible remote work with in‑office collaboration at our HQ. You’ll work closely with regional teams across product, engineering, and design to bring cutting‑edge generative vision features to market.

Why This Role Matters

We are scaling generative vision capabilities that reshape how people experience financial and consumer products. As a Machine Learning Engineer (Diffusion / Vision), you’ll fine‑tune diffusion models, design evaluation frameworks, and deploy AI features into production. Your work ensures our image systems are creative, safe, and optimized for real‑world impact.

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.

You’ll Thrive Here If You…

• Treat every challenge as your own, regardless of title.

• Enjoy switching between researcher, engineer, and product thinker.

• Prototype fast – test, iterate, and improve without waiting for perfect conditions.

• Stay calm and effective in startup chaos.

• Bias for speed – believe something valuable now beats perfect later.

• Learn fast from feedback and failure.

• Care deeply about both user experience and technical excellence.

• Show up with humility, hunger, and hustle.

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

• Competitive salary and performance‑based bonuses

• Flexible work arrangement

• High‑impact role with visibility across product, design, and engineering

• Flat structure – your work is seen, your ideas are heard

• Accelerated learning and growth in a mission‑driven company

• Cross‑border exposure to regional product development

Our Team & Culture

We’re a lean, high‑performance team that moves fast and holds a high bar. Titles don’t matter here – output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative. We reward people who think like owners. We value speed, clarity, and relentless execution. If you’re hungry to grow and care deeply about excellence, this is your kind of environment.

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.