Sr. Multimodal Model Training and Inference Optimization Engineer

Work on ByteDance’s Vision-Applied Research team, optimizing multimodal generative AI model training and inference for efficiency and scale. You’ll improve large-model training pipelines, develop distributed training strategies (data/model/pipeline parallelism and communication), and benchmark/profile deep learning systems to remove performance bottlenecks. The role focuses on accelerating training/inference and improving deployment readiness for large-scale generative models.