5 months ago
Singapore, SingaporeStaff+
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 and debug model or system failures using production signals.
- Optimize ML systems for accuracy, latency, cost, reliability, efficiency, and safety.
- Maintain robust, scalable, and maintainable training, inference, and data pipelines.
- Mentor and review the work of other ML engineers through technical judgment and example.
- Collaborate with research, product, and engineering teams to integrate ML features and deliver user impact.
Requirements
- Experience building and shipping machine learning systems used by real users.
- Strong understanding of how modern machine learning models behave in production.
- Production-quality coding ability and systems-oriented 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.
