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 and user-facing products. This role combines cutting-edge research with practical applications, emphasizing improvements in long-term user satisfaction within complex ecosystems.
The position offers a unique opportunity to work at the intersection of multiple advanced technologies, including recommender systems, mechanism design, multi-agent modeling, and generative AI. As a Research Scientist, you'll be responsible for designing and implementing scalable machine learning solutions while having the freedom to pursue fundamental research and publish your findings.
The role is based in Mountain View, CA, offering a competitive compensation package ranging from $166,000 to $244,000, plus bonus, equity, and comprehensive benefits. 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.
Working at Google Research means joining a collaborative environment where you'll contribute to projects that impact billions of users. The team maintains strong connections with academic institutions worldwide and encourages sharing research through publications and open-source projects. This position offers the perfect balance between theoretical research and practical implementation, with direct collaboration opportunities with product teams to drive innovation.
The role requires expertise in multiple areas of computer science, particularly in machine learning, recommender systems, and interactive systems. You'll be part of a team that values both individual contribution and collaborative success, with the opportunity to influence the direction of future technologies while working on real-world problems that define the technology of today and tomorrow.
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 package
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