Research Engineer, Conversational Agentic AI, DeepMind

Job description

Partner with the Gemini or DeepMind teams to design, develop, and deploy novel multimodal conversational agents. Develop audio-first models capable of orchestrating and planning complex dialogs, including leveraging external tools like search when necessary. Leverage new sources of data (real and synthetic) to empower new real-time dialog capabilities. Work with infra teams to design models suitable for streaming bi-directional dialog, so the user experience is always fluid and low-latency. Prototype and evaluate new technologies. Minimum Qualifications: Bachelor’s degree in Computer Science, Machine Learning, Mathematics, Cognitive Science, or a related technical field, or equivalent practical experience. 8 years of experience in data preparation, training, and evaluation of ML models. Experience building or implementing AI/ML-driven features or infrastructure (e.g., working with Large Language Models (LLMs), NLP, or data pipelines). Experience in Machine Learning, Artificial Intelligence, AI algorithms, and data analysis. Preferred Qualifications: One or more publications in conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR). Research background in NLP/Generative AI.