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Job Description
- Design and execute high-throughput strategies to capture high-quality multi-view video and image data from thousands of unique participants and environments.
- Optimize specialized acquisition hardware and optical configurations to extract high-precision ground truth visual data for complex foreground subjects and environmental backgrounds.
- Research and implement methods to fine-tune generative video foundation models on proprietary datasets to produce high-fidelity synthetic video training data, dramatically increasing model exposure to scenes.
- Develop automated pipelines that generate high-resolution depth, segmentation, and motion labels from production-grade models to supervise and train next-generation research architectures.
- Create rigorous image and video evaluation datasets specifically designed to measure and solve "long-tail" quality issues, such as material properties and temporal stability.