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 team focused on developing next-generation technologies for interactive recommender systems. This role offers a unique opportunity to work at the intersection of cutting-edge research areas including multi-agent systems, generative AI, and reinforcement learning.
The position requires a PhD in Computer Science or related field, with 2 years of research leadership experience. You'll be working on real-world problems that impact billions of users, with the freedom to pursue fundamental research while also contributing to product development. The role combines theoretical research with practical implementation, allowing you to publish your findings while making tangible impacts on Google's products.
As part of Google Research, you'll collaborate with world-class researchers and developers, working on projects that span from fundamental research to product innovation. The team specifically focuses on improving long-term user satisfaction in complex ecosystems, with emphasis on interactive systems, sequential optimization, and personalization.
The compensation package is competitive, ranging from $161,000 to $239,000 base salary, plus bonus, equity, and comprehensive benefits. Located in Mountain View, CA, you'll be at the heart of Google's innovation center, working with teams that are pushing the boundaries of technology in areas like machine learning, natural language processing, and computer science.
This role offers the perfect balance between academic research and practical application, with opportunities to publish in academic journals, contribute to open-source projects, and directly influence products used by billions. The position is ideal for someone who is passionate about both theoretical research and seeing their work make a real-world impact.
Working at Google means joining a company committed to diversity, equity, and inclusion, with a culture that emphasizes collaboration and innovation. You'll have access to state-of-the-art resources and the opportunity to work on challenging problems that define the future of technology.
Responsibilities For Senior Research Scientist, Interactive Recommender Systems
- Pursue work and research in 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
- Pursue research and technology development with opportunity to publish
- 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 design, recommender systems, reinforcement learning or active learning, generative AI
- One or more scientific publication submission(s)
- 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
Jobs Related To Google Senior Research Scientist, Interactive Recommender Systems
