Senior Research Scientist, Interactive Recommender Systems
Description For Senior Research Scientist, Interactive Recommender Systems
Google Research is seeking a Senior Research Scientist to join their Interactive Recommender Systems team. This role sits at the intersection of cutting-edge research and practical application, focusing on developing next-generation technologies for Google's systems and user-facing products. The position requires expertise in areas such as multi-agent systems, recommender systems, reinforcement learning, and generative AI.
The role offers a unique opportunity to contribute to fundamental research while directly impacting products used by billions of people. You'll be working on improving long-term user satisfaction in complex ecosystems, with special attention to interactive systems and conversation recommender systems. The team emphasizes the use of generative models, long-term sequential optimization, and personalization through user preference modeling.
As a Research Scientist, you'll have the freedom to setup large-scale tests, deploy innovative ideas, and manage research projects while collaborating with product teams. The position involves both conducting original research and publishing findings in academic journals, as well as implementing practical solutions that can be integrated into Google's products.
The ideal candidate will have a PhD in Computer Science or related field, with demonstrated experience in leading research initiatives and publishing in prestigious venues. Strong programming skills, particularly in Python, C, or C++, and expertise in machine learning methods are essential. The role offers competitive compensation, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits.
Google maintains a strong commitment to research sharing and open source contributions, fostering an environment where discoveries can impact the broader technical community. The position is based in Mountain View, CA, where you'll work alongside world-class researchers and developers in collaborative teams.
Responsibilities For Senior Research Scientist, Interactive Recommender Systems
- Pursue work and research at the intersection of recommender systems, mechanism/market design, multi-agent modeling and optimization, user modeling and simulation, interactive systems, generative AI models, reinforcement learning
- Design and implement scalable machine learning and optimization techniques to solve problems in user-facing, interactive systems
- Pursue a combination of research (with the opportunity to publish) and technology development and innovation in real products
- Work with other researchers and developers in collaborative teams
Requirements For Senior Research Scientist, Interactive Recommender Systems
- PhD degree in Computer Science, a related field, or equivalent practical experience
- 2 years of experience leading a research agenda
- Research experience with multi-agent systems, algorithmic mechanism or market design, recommender systems, reinforcement learning or active learning, generative AI
- One or more scientific publication submission(s) for conferences, journals, or public repositories
- Experience with programming in C, C++, or Python
- Experience with Machine Learning methods
Benefits For Senior Research Scientist, Interactive Recommender Systems
- bonus
- equity
- benefits package
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