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 offers a unique opportunity to work at the forefront of AI and machine learning research, specifically focusing on developing next-generation technologies for Google's systems and user-facing products.
The position combines cutting-edge research with practical implementation, requiring expertise in areas such as multi-agent systems, recommender systems, reinforcement learning, and generative AI. As a Research Scientist, you'll be responsible for designing and implementing scalable machine learning solutions while having the freedom to publish your findings and contribute to the broader research community.
The role offers an attractive compensation package ranging from $161,000 to $239,000, plus bonus, equity, and comprehensive benefits. You'll be working from Mountain View, CA, collaborating with world-class researchers and developers in a culture that emphasizes innovation and impact.
The ideal candidate should have a PhD in Computer Science or related field, with at least 2 years of experience leading research initiatives. You'll be part of Google Research, which addresses challenges that define current and future technology, with the opportunity to impact products used by billions of users globally.
This position stands out for its blend of fundamental research and practical application, allowing you to contribute to both academic advancement and real-world product development. You'll work in an environment that encourages sharing research through publications and open-source projects, while directly influencing Google's product development.
The role offers significant growth potential and the chance to work on complex problems in user satisfaction, interactive systems, and long-term optimization. You'll be part of a team that values collaboration, innovation, and the pursuit of breakthrough technologies that can transform how users interact with Google's products and services.
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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