Applied Scientist Intern: Differentially Private Video Synthesis

**Overview**

Join a strong research team advancing high-fidelity synthetic data generation pipelines. You will work on cutting-edge research in differentially private synthetic data generation, with a particular focus on video generation. Opportunities include advancing our existing work on Private Evolution (https://arxiv.org/abs/2305.15560) and Differentially Private Reinforcement Fine-tuning (https://openreview.net/pdf?id=pfP2LIiH0A) , designing new innovative algorithms for DP synthetic data, and applying them to high-impact real-world projects.

**Responsibilities**

+ **Advance the research:** Develop cutting-edge algorithms for differentially private video synthesis, including mechanisms, training objectives, and/or optimization strategies that improve fidelity, stability, and downstream utility.

+ **Own experiments end-to-end:** Define hypotheses, build rigorous evaluation protocols for synthetic video data (e.g., classification, detection...