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 combines cutting-edge research with practical applications, 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 work at the intersection of academic research and real-world application, with the freedom to publish findings while directly impacting products used by billions. The team specifically focuses on improving long-term user satisfaction in complex ecosystems, with emphasis on interactive systems, sequential optimization, and personalization.
As a Research Scientist, you'll be responsible for designing and implementing scalable machine learning solutions, conducting fundamental research, and collaborating with product teams to drive innovation. The position offers competitive compensation ($161,000-$239,000 + bonus + equity) and the opportunity to work with world-class researchers and developers.
The ideal candidate will have a PhD in Computer Science or related field, demonstrated research leadership experience, and a strong publication record. You'll be part of Google Research's broader mission to address technological challenges that define today and tomorrow, with access to vast resources and the opportunity to contribute to open-source projects and academic publications.
This role is perfect for someone who wants to bridge the gap between theoretical research and practical applications, working on problems that can significantly impact user experiences across Google's products. The position offers the chance to work on cutting-edge technology while contributing to the wider research community through publications and collaborations with academic institutions worldwide.
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
- 2 years of coding experience (preferred)
- Experience with programming in C, C++, or Python (preferred)
- Experience with Machine Learning methods (preferred)
- Excellent publication record (preferred)
Benefits For Senior Research Scientist, Interactive Recommender Systems
- bonus
- equity
- benefits
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