About this role
The role involves architecting and developing the next generation of the machine learning research platform, focusing on scalability, reliability, and reproducibility across on-premises HPC and multi-cloud environments. Key tasks include building infrastructure for large-scale experimentation, optimizing distributed training pipelines, and improving experiment management and model versioning.
Candidates must have over 2 years of experience building large-scale distributed systems, strong Python programming skills, and experience developing applications on Linux HPC clusters or cloud platforms. Familiarity with GPU workloads and modern ML frameworks like PyTorch or TensorFlow is required.
What they're looking for
PythonLinuxDistributed SystemsHPC ClustersCloud PlatformsGPU-Accelerated WorkloadsPyTorchTensorFlow
Frequently asked questions
What does a Machine Learning Engineer at Tower Research Capital do?
The role involves architecting and developing the next generation of the machine learning research platform, focusing on scalability, reliability, and reproducibility across on-premises HPC and multi-cloud environments. Key tasks include building infrastructure for large-scale experimentation, optim…
What skills does this Machine Learning Engineer role need?
Key skills for this role include Python, Linux, Distributed Systems, HPC Clusters, Cloud Platforms, GPU-Accelerated Workloads.
How much does a Machine Learning Engineer at Tower Research Capital pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Machine Learning Engineer role remote, hybrid, or on-site?
This role is hybrid, based in Hong Kong.
How do I apply for this Machine Learning Engineer role?
You can apply directly on Tower Research Capital's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.