About this role
Architect and develop a scalable machine learning research platform focusing on reliability, observability, and reproducibility. Build infrastructure for large-scale experimentation and distributed training pipelines across HPC and multi-cloud environments.
Requires 2+ years of experience in designing large-scale distributed systems and strong proficiency in Python. Candidates should have experience with Linux-based HPC clusters, GPU workloads, and modern ML frameworks.
What they're looking for
PythonDistributed SystemsLinux HPCPyTorchTensorFlowJAXGPU AccelerationDocker
Frequently asked questions
What does a Machine Learning Engineer at Tower Research Capital do?
Architect and develop a scalable machine learning research platform focusing on reliability, observability, and reproducibility. Build infrastructure for large-scale experimentation and distributed training pipelines across HPC and multi-cloud environments. Requires 2+ years of experience in designi…
What skills does this Machine Learning Engineer role need?
Key skills for this role include Python, Distributed Systems, Linux HPC, PyTorch, TensorFlow, JAX.
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 Singapore.
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.