Daniel Remine

Offering expertise and extensive technical leadership experience in artificial intelligence in end-to-end AI applied machine learning, research, and production; and a passion for product impact and the customer experience. Working at Google to advance the frontier of multimodal generative AI. Specialist in multimodal generative AI (vision, video, mixed media, and more); computer vision, machine learning, natural language processing, and AI. Specializing in zero-to-one AI-based product incubation- from ideation to prototyping to launching a first products and features. Working at Google in partnerships with Deepmind, in Labs, the GenAI product incubation org known for NotebookLM, Flow (Veo), Whisk (Imagen), and more. Designing, implementing, training, hardening, and launching complex multi-modal generative AI systems, including with Gemini, Imagen, Veo, and other generative SOTA AI models. Formerly working as Senior Applied Scientist at Amazon, leading multiple ML/AI feature development projects for the Prime Video and Amazon Photos team, with models in production at a scale serving multi-millions of customers and inferencing on multi-billions of assets. Work focus includes video, image, and language processing, semi-supervised and self-supervised deep learning, ML system architectures, deep learning scalability, and more. Experienced leading exploration and bringing clarity to deeply ambiguous, open-ended algorithmic application spaces. Responsibilities include assessing and formulating technical direction and machine learning architecture and executing on technical vision to bring value to a wide customer base through computer vision and machine learning features. Formerly Machine Learning Senior Applied Scientist at Adobe working as technical lead to a newly formed ML team of five ML engineers. Responsible for setting technical direction, mentoring and growi