Research Scientist — Privacy-Preserving Large-Scale Model Training & Architecture Optimization

Build next-generation generative foundation model training architectures with a focus on diffusion-based and unified generation-understanding models. Own end-to-end design for large-scale, privacy-aware training infrastructure, including model-parallel execution, GPU-first performance optimization, and robust distributed strategies. Develop fault-tolerant, self-healing systems with fast recovery, checkpointing, and production readiness. Optimize diffusion transformer pipelines (noise schedules, timesteps, memory-efficient attention) and partner with research teams on architecture tradeoffs.