Research Scientist, Gen AI/ML, Computational Photography

Google Research is seeking a Research Scientist specializing in Generative AI, Machine Learning, and Computational Photography to join their innovative team. This role combines cutting-edge research in AI with practical applications in computational photography and image processing.

The position offers an exciting opportunity to work at the intersection of academic research and product development, focusing on advancing the state-of-the-art in generative AI for photography and imaging applications. As a Research Scientist, you'll be responsible for developing novel approaches to image quality enhancement, multi-camera fusion, and video quality improvements using generative AI techniques.

The ideal candidate will have a PhD in Computer Science or a related field, with demonstrated experience in machine learning, computer vision, and computational photography. You'll need strong programming skills in Python or C++, and familiarity with modern ML frameworks like TensorFlow, PyTorch, or JAX. Your research will directly impact Google's products and services, potentially affecting millions of users worldwide.

Working at Google Research means you'll have access to world-class computing resources, collaborate with leading researchers in the field, and have the freedom to pursue innovative research directions. The role offers competitive compensation ($161,000-$239,000 base salary) plus additional benefits, and provides opportunities to publish your findings and contribute to the broader research community.

You'll be part of a dynamic team that values creativity, technical excellence, and the ability to translate research into practical applications. The position involves both independent research and collaboration with other teams across Google, requiring strong communication skills and the ability to adapt to evolving project needs.

This is an excellent opportunity for someone passionate about advancing the field of computational photography through the application of generative AI, while working in an environment that encourages innovation and provides the resources to pursue ambitious research goals.