Research Engineer

Google DeepMind is seeking a Research Engineer to join their Media Understanding team, focusing on advancing state-of-the-art research in Embedding/representation models within large language models. This role presents a unique opportunity to work on the Gemini embedding project, a top priority initiative aimed at developing the most powerful omnimodal embedding model for retrieval and agentic use cases across Google products.

The position involves working at the intersection of research and practical implementation, where you'll be responsible for developing and productionizing next-generation models for multimodal understanding. You'll collaborate with a diverse team of research/software engineers, research scientists, and machine learning experts to create solutions that will impact billions of users worldwide.

Key aspects of the role include building various agentic Gemini demos, enhancing serving infrastructure for scalability, and working closely with product teams to implement and improve models based on real-world feedback. The ideal candidate should have either a Ph.D. in Computer Science or related field, or significant industry experience with machine learning and AI implementations.

This role offers competitive compensation ($182,000 - $215,000 plus bonus and equity) and the opportunity to work on cutting-edge AI technology that will shape the future of multimodal understanding. You'll be part of a team that values diversity of experience and perspectives, working in an environment that fosters innovation and impactful solutions for real-world challenges.