Senior / Staff SLM & VLM Engineer — Post-Training, Tool Calling & Agents
Jabil is seeking an experienced ML engineer to lead R&D for SLMs and VLMs targeting edge and production efficiency. The role covers the full pipeline from continuous pretraining and instruction tuning to compression, distillation, and quantization-based inference optimization. You will also architect production-grade tool-calling systems and implement RL-based alignment strategies. Strong proficiency in Python, C++, and PyTorch is essential to drive model quality and latency improvements.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, Singapore
Company
Tier 2
What you will work on
Jabil is seeking an experienced ML engineer to lead R&D for SLMs and VLMs targeting edge and production efficiency. The role covers the full pipeline from continuous pretraining and instruction tuning to compression, distillation, and quantization-based inference optimization. You will also architect production-grade tool-calling systems and implement RL-based alignment strategies. Strong proficiency in Python, C++, and PyTorch is essential to drive model quality and latency improvements.
TAL's take
Technical role in a global company working on advanced ML infrastructure, though domain is manufacturing-focused.
Very well-defined responsibilities regarding SLM/VLM training, inference optimization, and tool calling infrastructure.
Must haves
- Strong software engineering skills in Python and C++
- Experience building ML training/evaluation pipelines in PyTorch
- Hands-on experience in model efficiency and inference optimization
- Experience with CUDA and/or SIMD
- Ability to communicate in Mandarin and English
Tools and skills
About the company
Global manufacturing and engineering solutions provider, but not a primary AI-native tech firm.
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