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 sits at the intersection of cutting-edge AI research and practical applications, focusing on developing next-generation technologies for Google's systems and user-facing products. The position offers a unique opportunity to work on complex ecosystems with emphasis on interactive systems, conversation recommender systems, and generative models.
The role combines fundamental research with direct product impact, allowing scientists to influence technology used by billions of people. The team specifically focuses on long-term user satisfaction, sequential optimization, personalization, and multi-agent interactions. You'll have the freedom to publish your findings and collaborate with research programs at partner universities worldwide.
As a Research Scientist, you'll be responsible for setting up large-scale tests, deploying innovative ideas, and managing crucial deliverables. The work spans various computer science domains, including machine learning, data mining, and natural language processing. The position offers competitive compensation ($161,000-$239,000) plus bonus, equity, and comprehensive benefits.
Google provides an inclusive environment committed to equal opportunity and building a representative workforce. The role requires strong research credentials, including a PhD in Computer Science or related field, proven research leadership, and expertise in areas like multi-agent systems, recommender systems, or generative AI. The ideal candidate will combine technical excellence with collaborative skills to work effectively with research and product teams.
Responsibilities For Senior Research Scientist, Interactive Recommender Systems
- Pursue work and research in recommender systems, mechanism design, multi-agent modeling, user modeling, 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)
- 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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