Senior Research Scientist, Interactive Recommender Systems

Google is a global technology company that maintains a portfolio of research projects and develops technologies used by billions of people.
$161,000 - $239,000
Machine Learning
Staff Software Engineer
In-Person
5000+ Employees
2+ years of experience
AI · Enterprise SaaS

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. This role combines cutting-edge research with practical applications that impact billions of users worldwide.

The position requires a PhD in Computer Science or related field, with at least 2 years of experience leading research initiatives. The ideal candidate will have expertise in multi-agent systems, algorithmic mechanism design, recommender systems, reinforcement learning, or generative AI, along with a strong publication record.

As a Research Scientist at Google, you'll work at the intersection of fundamental research and product innovation. The role involves designing and implementing scalable machine learning solutions for user-facing systems, with opportunities to publish research and collaborate with top researchers globally. You'll be part of a team that emphasizes improving long-term user satisfaction in complex ecosystems.

The compensation package is competitive, ranging from $161,000 to $239,000 base salary, plus bonus, equity, and comprehensive benefits. Google offers a collaborative environment where researchers can influence product development while maintaining academic connections through publications and open-source contributions.

This position is based in Mountain View, CA, where you'll have access to Google's world-class research facilities and resources. You'll be part of an organization that values diversity, equality, and innovation, working on projects that span the breadth of computer science, from machine learning and natural language processing to hardware optimization.

The role offers a unique opportunity to bridge theoretical research with practical applications, working on real-world problems that impact Google's vast user base. You'll contribute to the wider research community while developing technologies that power Google's next-generation systems and user-facing products.

If you're passionate about advancing the field of interactive recommender systems and want to work with leading researchers in a collaborative environment, this role offers the perfect blend of academic research and practical impact. Join Google Research to shape the future of technology while pursuing your research interests with the backing of one of the world's leading technology companies.

Last updated 2 days ago

Responsibilities For Senior Research Scientist, Interactive Recommender Systems

  • Pursue work and research in 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
  • 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

Python
  • 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)
  • Experience with Machine Learning methods
  • Experience with programming in C, C++, or Python

Benefits For Senior Research Scientist, Interactive Recommender Systems

Medical Insurance
Dental Insurance
Vision Insurance
  • bonus
  • equity
  • benefits package

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