Staff AI Research Scientist

Staff AI Research Scientist, Applied AI, Google Cloud

Google is seeking a highly skilled and experienced Staff AI Research Scientist to join the Applied AI team within Google Cloud. This role involves driving innovation in conversational AI products and solutions for enterprises.

About the Role

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll set up large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Cloud Applied AI Team Focus

The Cloud Applied AI team's goal is to support enterprises in innovating conversational AI products such as contact centers, conversational interfaces on websites, devices, and mobile apps. We apply the art of Artificial Intelligence/Machine Learning (AI/ML) to conversational problems and work on building the next generation of customer service.

Fitbit Integration

Fitbit’s wide range of innovative products, including smartwatches, trackers, and a smart scale, help people lead healthier, more active lives by empowering them with data, inspiration, and guidance to reach their health and fitness goals. Coupled with our leading software and Fitbit Premium, our immersive platform experience delivers personalized experiences, insights, and guidance to support our users’ health and wellness. Fitbit’s mission has always been to help make everyone in the world healthier and now, as part of Google we’ll be able to make health even more accessible to everyone.

Responsibilities

• Design, develop, and deploy scalable and agentic AI solutions for enterprise use cases across domains like finance, sales, marketing, and retail, focusing on innovation and utility, with a user-centric perspective.
• Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements.
• Implement, optimize, and advance AI techniques, with both training-free and training-based approaches.
• Drive progress through experimentation cycles such as proposing hypotheses, designing validation methods, implementing and testing ideas, analyzing results, and iterating quickly to find optimal solutions.
• Provide technical leadership on projects and facilitate clarity on goals and timelines.
• Work with a small, experienced team of developers, researchers, engaging in design and code reviews to foster a culture of continuous improvement.

Key skills/competency

• AI Research
• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Generative AI
• LLMs
• Python
• Scalable AI Solutions
• Enterprise AI
• Research Agendas