Bjak

Staff Machine Learning Engineer

Bjak
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3 months ago
Indonesia (city not specified)Staff+

Responsibilities

  • Own end-to-end machine learning systems from data and training through evaluation, inference, and deployment.
  • Build and evolve training and fine-tuning pipelines for large models.
  • Design evaluation systems covering capability, robustness, safety, and real-world product performance.
  • Architect high-performance inference systems and optimize latency, GPU utilization, memory, cost, and reliability.
  • Build data pipelines and systems for real-world and synthetic training data.
  • Establish production infrastructure for model deployment, monitoring, and continuous improvement.
  • Partner with research and application engineering to turn model capabilities into product improvements.
  • Debug and resolve production issues quickly while supporting team delivery and maintaining high standards for correctness and reliability.

Requirements

  • Experience building and shipping production machine learning systems used by people, rather than only research prototypes or demos.
  • Strong understanding of large-model training, fine-tuning, evaluation, and inference.
  • Strong software engineering and systems fundamentals with production-grade coding practices.
  • Experience operating machine learning workloads at meaningful scale, particularly GPU-based systems.
  • Ability to navigate ambiguous problems independently and make pragmatic technical trade-offs.
  • Comfort working with large models and understanding their failure modes.
  • Bias toward experimentation, measurement, and shipping.

Tech Stack

Categories

Bjak

About Bjak

201-500 employees

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.

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