Senior/Staff SLM & VLM Engineer — Post-Training, Tool Calling & Agents

JABIL CIRCUIT (SINGAPORE) PTE. LTD.

Pasir Ris, Singapore
Not specified (assumed office-based due to location)
Python and c++ software engineering
Pytorch ml training pipelines
Model compression and distillation
Jabil Circuit is seeking a Senior/Staff SLM & VLM Engineer to lead R&D efforts in Small Language Models and Vision-Language Models, focusing on low-latency and cost-efficient production. The role emphasizes continuous pretraining, instruction tuning, and optimizing model efficiency for edge scenarios, requiring expertise in Python, C++, and machine learning frameworks

Job Summary

  • This role involves leading the research and development of SLMs and VLMs specifically optimized for low-latency edge production scenarios.
  • The engineer will architect a production-grade tool calling framework including cataloging, routing, validation, and observability features.
  • Candidates must possess strong bilingual communication skills in both Chinese (Mandarin) and English to liaise with counterparts in China.

Matching Summary

Match Score: 85

Jabil Circuit is seeking a Senior/Staff SLM & VLM Engineer to lead R&D efforts in Small Language Models and Vision-Language Models, focusing on low-latency and cost-efficient production. The role emphasizes continuous pretraining, instruction tuning, and optimizing model efficiency for edge scenarios, requiring expertise in Python, C++, and machine learning frameworks.

Skills & Requirements

Must-have

  • Python and C++ software engineering
  • PyTorch ML training pipelines
  • Model compression and distillation
  • Tool calling system architecture
  • RL post-training optimization
  • CUDA and performance tuning

Nice-to-have

  • Strong experimental discipline
  • Rapid iteration capabilities
  • Cross-functional collaboration skills

Key Requirements

  • Bilingual proficiency in Mandarin and English
  • Experience with high-performance computing acceleration
  • Ability to reproduce recent research papers

Work Rights

Not specified

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