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.

• 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.