SLM & VLM Engineer — Post-Training, Tool Calling & Agents
Core
Lead R&D of Small Language Models (SLMs) and Vision-Language Models (VLMs) for edge/low-latency production scenarios, owning continuous pretraining, instruction tuning, compression, and tool-calling systems.
Role type
Senior IC machine-learning engineer (SLM/VLM post-training & tool-calling)
Builds
Efficient SLM/VLM models, tool-calling frameworks, and automated data pipelines for edge deployment
Domain
AI/ML, Edge Computing, Supply Chain & Manufacturing
Deliverable
production ML models
Required skills
Python, C++, PyTorch, Model Compression (distillation, pruning, quantization), Inference Optimization, CUDA/SIMD, RLHF (PPO/DPO/GRPO), Data Pipeline Automation, Tool Calling Architecture
Preferred skills
None stated
Technologies
PyTorch, CUDA, SIMD
Responsibilities
Conduct continuous pretraining and SFT for SLMs/VLMs; Design and implement efficient compression strategies; Architect and implement a production-grade tool calling framework; Apply post-training methods (PPO/DPO/GRPO) for alignment; Design automated data collection and cleaning pipelines; Build robust evaluation mechanisms for model quality and efficiency
Seniority
Senior, hands-on IC
