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, focusing on developing next-generation technologies for Google's systems and user-facing products. This role combines cutting-edge research in recommender systems, multi-agent modeling, and generative AI with practical implementation in products used by billions.
The position requires a PhD in Computer Science or related field, with 2 years of research leadership experience. The ideal candidate will have expertise in areas such as multi-agent systems, recommender systems, reinforcement learning, and generative AI, along with a strong publication record and programming skills in languages like Python and C++.
As a Research Scientist, you'll work on fundamental research problems while having the opportunity to see your innovations deployed at scale. The role involves designing and implementing scalable machine learning solutions, collaborating with product teams, and contributing to the broader research community through publications and open-source projects.
The team emphasizes improving long-term user satisfaction in complex ecosystems, with special attention to interactive systems, sequential optimization, personalization, and multi-agent interactions. You'll be part of Google Research's mission to address challenges that define current and future technology, with the opportunity to impact products used globally.
The position offers competitive compensation ($161,000-$239,000) plus bonus, equity, and comprehensive benefits. Located in Mountain View, CA, you'll work in a collaborative environment that values diversity, innovation, and research excellence. This is an exceptional opportunity to combine academic research with practical impact at one of the world's leading technology companies.
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
Jobs Related To Google Senior Research Scientist, Interactive Recommender Systems
