AI Researcher: MoE/LLM & Tokenization Innovator

MS Capital Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

MS Capital Singapore seeks talented researchers to advance MoE and large-model capabilities. You will work on mixture of experts, tokenization, and transformer-based systems using PyTorch/JAX, with emphasis on scalable training and memory optimization.

The team combines researchers and engineers to push the frontier of AI-driven trading tech, under a strong AI R&D charter in Singapore.

Qualifications

• Master or PhD in Computer Science, AI, Mathematics, or related fields.
• Research in MoE/MHA/Tokenization with publications or in-depth projects.
• Proficient in PyTorch or JAX, with experience in large model training and fine-tuning.
• Deep understanding of Transformer architectures with exposure to Megatron/DeepSpeed.
• Familiarity with distributed training and memory optimization.
• Strong academic curiosity plus engineering mindset for practical implementation.

Skills

MoE/MHA/Tokenization research

PyTorch/JAX

Transformer architectures

Distributed training

Engineering mindset

Self-driven exploration

Education

Master or PhD in Computer Science / Artificial Intelligence / Mathematics

Tools

Megatron

DeepSpeed

Job description

MS Capital Singapore seeks talented researchers to advance MoE and large-model capabilities. You will work on mixture of experts, tokenization, and transformer-based systems using PyTorch/JAX, with emphasis on scalable training and memory optimization.

The team combines researchers and engineers to push the frontier of AI-driven trading tech, under a strong AI R&D charter in Singapore.