23 days ago
China (city not specified)Staff+
Responsibilities
- Own end-to-end ML systems spanning data, training, evaluation, inference, and deployment.
- Build and evolve training and fine-tuning pipelines for large models.
- Design evaluation systems measuring capability, robustness, safety, and 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.
- Make technical trade-offs, iterate based on real-world performance, and help support team delivery.
Requirements
- Experience building and shipping production ML systems rather than research prototypes.
- Strong understanding of modern large-model training, fine-tuning, evaluation, and inference.
- Strong software engineering and systems fundamentals.
- Experience operating ML workloads at meaningful scale, particularly GPU-based systems.
- Strong technical judgment and ability to navigate ambiguous problems independently.
- Production-grade coding skills with a focus on correctness, reliability, and quality.
- Comfort working with large models and understanding their failure modes.
Benefits
- Small, high-talent-density, hands-on team with broad engineering ownership.
- Fast decision-making, close collaboration, and emphasis on execution over process.
- Interviews are conducted through virtual meetings and/or onsite meetings, with a process of three and no more than four interviews.
- The company states that it aims to make prompt hiring decisions.
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.