6 days ago
Seoul, Korea, SouthSenior
Responsibilities
- Build and improve ML models for classification, ranking, retrieval, personalization, and related applications.
- Optimize classifiers and models for accuracy, precision, latency, and cost.
- Improve search relevance and context retrieval using embeddings, hybrid search, and reranking.
- Develop personalization models based on user behavior while respecting privacy.
- Build evaluation pipelines, labeled datasets, and metrics to measure model quality.
- Fine-tune and adapt existing models when sufficient data is available.
- Build and maintain ML training, inference, and deployment pipelines.
- Debug production issues, monitor model performance, and ship improvements based on real-world feedback.
- Collaborate with engineering and product teams to deliver reliable ML-powered features.
Requirements
- Strong foundations in machine learning and modern neural architectures.
- Hands-on experience building and deploying ML models in production.
- Experience with classification, ranking, retrieval, recommendation systems, or personalization.
- Understanding of model evaluation, experimentation, and performance metrics.
- Ability to write production-quality code and work with real-world datasets.
- Ability to balance model quality, latency, cost, and reliability.
- Strong ownership and problem-solving skills.
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.