5 months ago
Seoul, Korea, SouthStaff+
Responsibilities
- Build core machine learning systems for a proactive, long-horizon AI product.
- Own data preparation, training, evaluation, inference, and iteration end-to-end.
- Translate research ideas into reliable production systems.
- Debug model failures and system issues using production signals.
- Optimize systems for latency, cost, reliability, safety, accuracy, and efficiency.
- Monitor, resolve, and maintain robust training, inference, and data pipelines.
- Mentor and review other machine learning engineers through technical guidance and example.
- Collaborate with research, product, and engineering to integrate ML features into products.
Requirements
- Experience building and shipping machine learning systems used by real users.
- Understanding of how modern machine learning models behave and fail in production.
- Strong production-quality coding and systems thinking.
- Ability to work independently, take ownership, and deliver ambiguous projects end-to-end.
- Ability to learn quickly, communicate clearly, and improve through iteration.
Categories
About Bjak
Bjak builds an online insurance marketplace for consumers in Malaysia and Southeast Asia, enabling comparison and purchase of car, health, life, and travel policies. Its business model is aggregator-based, earning commissions and fees from insurers and partners while streamlining digital applications and renewals. Founded in 2019 and headquartered in Selangor, it is privately held and is expanding from insurance comparison into broader fintech services via a planned finance super app.