Research Engineer, Multimodal Conversational AI

Google DeepMind; New York (NY); Hybrid; USD 207,000 - 300,000; Full time

Job summary

Google DeepMind is seeking a research-focused Software Engineer to design, implement, and deploy advanced multimodal conversational agents. You will work across internal projects and collaborate with research programs at partner universities to push the boundaries of AI and NLP while maintaining safety and ethics as a core priority.

Join a pioneering AI lab with interdisciplinary teams focused on advancing AI development to solve global challenges and accelerate product innovation for billions

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.
• Publications in conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR) would be a plus.
• Research background in NLP/Generative AI would be beneficial.

Responsibilities

• 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.

Education

Bachelor’s degree or equivalent practical experience

Tools

LLMs design & NLP pipelines

Job description

Google DeepMind is seeking a research-focused Software Engineer to design, implement, and deploy advanced multimodal conversational agents. You will work across internal projects and collaborate with research programs at partner universities to push the boundaries of AI and NLP while maintaining safety and ethics as a core priority.

Join a pioneering AI lab with interdisciplinary teams focused on advancing AI development to solve global challenges and accelerate product innovation for billions