ML Research Platform Engineer (Distributed Training & HPC)

QNT Partners

Full-time Other-General
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Location
singapore, singapore, Singapore
Posted
June 10, 2026

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 and artifact tracking


Must haves (non-negotiable) ...