The Research Scientist in Visual Data and Generative Research at Google will focus on developing innovative solutions in computer vision and generative media. This role involves setting up large-scale tests and deploying ideas quickly while managing deadlines and deliverables. The team aims to advance Google's core products through exploration and application of new technologies. The position requires collaboration with the wider research community to share findings and contribute to significant advancements in the field.

• PhD or equivalent practical experience in computer vision, machine learning, computer graphics, or generative media.
• Experience in Python and C++.
• Experience with visual data acquisition and curation for 3D vision tasks, such as multi-view video, point clouds, or radiance fields.
• Experience designing and training neural networks, specifically with transformers or diffusion models.

• Design and execute high-throughput strategies to capture high-quality multi-view video and image data from thousands of unique participants and environments.
• Design and 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.
• 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, large-scale image and video evaluation datasets specifically designed to measure and solve 'long-tail' quality issues.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.