Job Summary We are looking for a highly capable engineer/researcher to lead the R&D of Small Language Models (SLMs) and Vision-Language Models (VLMs) for edge / low-latency and cost-efficient production scenarios. You will own the continuous pretraining, supervised instruction tuning (SFT), and compression/distillation pipelines, and work closely with platform teams to deliver reliable, measurable improvements in inference efficiency, tool-use success rate, and overall model quality. Key Responsibilities 1) SLM/VLM Training: Continuous Pretraining & Instruction Tuning (SFT) . Conduct continuous pretraining and SFT for SLMs and VLMs to improve task performance and domain adaptation. . Build reproducible training workflows in PyTorch, including data processing, training, evaluation, and model versioning. 2) Compression, Distillation & Edge/Low-Latency Inference Optimization . Design and implement efficient compression strategies for SLM/VLM, including knowledge distillation, pruning, and...