Google Inc.
Senior Research Scientist, Interactive Recommender Systems, Google Research
Google Inc., Mountain View, California, us, 94039
Senior Research Scientist, Interactive Recommender Systems, Google Research
Location:
Mountain View, CA, USA Minimum Qualifications:
PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. Research experience with one or more of the following: 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. Preferred Qualifications:
2 years of coding experience. 1 year of experience leading research efforts and influencing other researchers. Practical experience with Machine Learning methods. Programming experience in C, C++, or Python. Strong publication record. About the Job:
As a Research Scientist, you'll set up large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, and more. You will actively contribute to the wider research community by sharing and publishing your findings, inspired by internal projects as well as collaborations with research programs at partner universities and technical institutes worldwide. Our team is focused on research to develop the next generation of technologies to power systems and other user-facing products at Google, emphasizing maximizing long-term user satisfaction in complex ecosystems. Responsibilities:
Pursue work and research at the intersection of two or more of the following topics: 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 (e.g., recommender 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. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr
Location:
Mountain View, CA, USA Minimum Qualifications:
PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. Research experience with one or more of the following: 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. Preferred Qualifications:
2 years of coding experience. 1 year of experience leading research efforts and influencing other researchers. Practical experience with Machine Learning methods. Programming experience in C, C++, or Python. Strong publication record. About the Job:
As a Research Scientist, you'll set up large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, and more. You will actively contribute to the wider research community by sharing and publishing your findings, inspired by internal projects as well as collaborations with research programs at partner universities and technical institutes worldwide. Our team is focused on research to develop the next generation of technologies to power systems and other user-facing products at Google, emphasizing maximizing long-term user satisfaction in complex ecosystems. Responsibilities:
Pursue work and research at the intersection of two or more of the following topics: 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 (e.g., recommender 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. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr