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, 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, Manufacturing Technology
Deliverable
production ML models
Required skills
Python, C++, PyTorch, model compression (distillation/pruning/quantization), CUDA/SIMD optimization, RL (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; implement compression strategies and optimize low-latency inference; architect production-grade tool calling frameworks; apply RL and reward modeling for alignment; design automated data collection and curation pipelines; build robust evaluation mechanisms and drive rapid iteration
Seniority
Senior, hands-on IC