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 multiple areas including recommender systems, multi-agent systems, generative AI, and reinforcement learning.
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. You'll work on complex problems at the intersection of various AI domains, with the opportunity to impact products used by billions of users globally.
As part of Google Research, you'll collaborate with world-class researchers and engineers, contributing to both fundamental research and product development. The role offers the freedom to pursue innovative ideas while working on real-world applications. You'll be responsible for designing and implementing scalable machine learning solutions, particularly for interactive systems and recommender systems.
The position offers competitive compensation ($161,000-$239,000) plus bonus, equity, and comprehensive benefits. Based in Mountain View, CA, you'll be part of Google's renowned research community that emphasizes open collaboration and knowledge sharing through publications and open-source contributions.
This is an exceptional opportunity for someone passionate about advancing the field of AI while working on practical applications that have global impact. You'll have access to Google's vast computational resources and data, enabling you to pursue ambitious research goals while collaborating with product teams to bring innovations to market.
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 package
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