Research Engineer, Conversational Agentic AI, DeepMind

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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.

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.

About The Job

At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .