ML Systems Engineer: High-Performance Model Training

MOTIONAL SINGAPORE PTE. LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

MOTIONAL SINGAPORE PTE. LIMITED is seeking a Machine Learning Systems Engineer to advance our ML acceleration efforts. You will optimize data loading, gradient computation, and communication to speed up large-scale model training and convergence.

You will work at the intersection of ML research and high-performance systems, focusing on speed, cost, and reliability to scale frontier models efficiently.

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related field.
• Strong proficiency in Python.
• Extensive hands-on experience with PyTorch.
• Experience optimizing ML model execution during training and inference; strong ML concepts.
• Problem solving with data-driven approach and bias for action.

Responsibilities

• Performance profiling & optimization to reduce step time and improve throughput.
• Distributed training pipeline optimization with PyTorch Distributed.
• Design and maintain high-performance GPU kernels in Triton or CUDA.
• Build robust data loading pipelines to maximize training throughput.

Skills

Python

PyTorch

Distributed Training

Kernel optimization

Profiling/Performance

Education

Bachelor/Master/PhD in CS/CE

Tools

Nsight

PyTorch Profiler

CUDA

Triton

Job description

MOTIONAL SINGAPORE PTE. LIMITED is seeking a Machine Learning Systems Engineer to advance our ML acceleration efforts. You will optimize data loading, gradient computation, and communication to speed up large-scale model training and convergence.

You will work at the intersection of ML research and high-performance systems, focusing on speed, cost, and reliability to scale frontier models efficiently.