2 months ago
Singapore, SingaporeStaff+
Responsibilities
- Own the end-to-end ML systems powering the company, 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 while optimizing latency, GPU utilization, memory, cost, and reliability.
- Build data pipelines and systems for real-world and synthetic training data.
- Establish production infrastructure for deploying, monitoring, and continuously improving models.
- Partner with research and application engineering to turn model capabilities into product improvements.
- Support team members, align technical work, and help deliver high-impact ML systems.
Requirements
- Experience building and shipping production ML 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 ability.
- Experience operating ML workloads at meaningful scale, particularly GPU-based systems.
- Ability to navigate ambiguous problems independently and exercise strong technical judgment.
- Bias toward experimentation, measurement, and shipping, with high standards for correctness, reliability, and production quality.
- Comfort working with large models and understanding their failure modes.
Benefits
- Small, high-talent-density, hands-on team with broad ownership and independent execution.
- Fast decision-making, close collaboration, and a focus on engineering fundamentals over process.
- Interview process consists of three, and no more than four, interviews conducted virtually and/or onsite.
- Prompt hiring decisions and a mission focused on bringing practical AI benefits to billions of people.
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.