Job Description
Location: Singapore, Hong Kong or Shanghai
About the role
We are looking for a platform engineer to build the infrastructure that powers our next-generation machine learning research. Think: large-scale experimentation, distributed training, and reproducibility.
This is not an applied ML role. You will not be fine-tuning LLMs or building agents. Instead, you will build the systems that enable researchers to train models at scale
What you will own
- Distributed training pipelines for GPU-accelerated workloads (PyTorch, JAX)
- Experiment management and model versioning
- Resource scheduling on on-premise HPC clusters and cloud (Slurm, Kubernetes)
- Observability and debugging for complex training jobs
- Data lineage