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 machine learning, particularly in areas such as recommender systems, multi-agent systems, and generative AI.
The ideal candidate will have a PhD in Computer Science or related field, with demonstrated experience leading research initiatives and contributing to the scientific community through publications. You'll work at the intersection of various exciting fields, including recommender systems, mechanism design, and reinforcement learning, while having the opportunity to impact products used by billions of people.
At Google Research, you'll be part of a collaborative environment that values innovation and academic contribution. The role offers a competitive compensation package, including a base salary range of $161,000-$239,000, plus bonus, equity, and comprehensive benefits. You'll have the freedom to pursue fundamental research while also applying your findings to real-world problems.
The position is based in Mountain View, CA, where you'll work with world-class researchers and developers. Google's commitment to sharing research and tools with the broader scientific community means your work will contribute to advancing the field of computer science as a whole. This is an exceptional opportunity to combine academic research with practical application at one of the world's leading technology companies.
If you're passionate about developing innovative solutions in interactive systems, have a strong publication record, and want to work on problems that impact billions of users, this role offers the perfect blend of research freedom and practical impact. You'll be supported by Google's extensive resources and collaborate with leading experts in the field while maintaining the ability to publish and contribute to the academic community.
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 real-time 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
- Programming experience in C, C++, or Python
- Strong publication record
Benefits For Senior Research Scientist, Interactive Recommender Systems
- bonus
- equity
- benefits
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