Google Inc.
Research Scientist, Graph Mining, GenAI, Google Research
Google Inc., Mountain View, California, us, 94039
Research Scientist, Graph Mining, GenAI, Google Research
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New York, NY, USA ; Mountain View, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply link
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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA; Mountain View, CA, USA . PhD degree in Computer Science or Computer Engineering, a similar technical field of study (e.g., Electrical Engineering, Mathematics, Information Technology), or equivalent practical experience. 2 years of experience leading a research agenda. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java). Research experience in Deep Learning or Graph Algorithms. Preferred qualifications:
Experience in large language models or graph mining research. Understanding of Algorithms. About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup 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, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Graph Mining team's mission is to build the most scalable and accessible graph library to empower teams across Google. We aim for graphs with XT nodes and XXT edges. In the past 13 years, we empowered 70+ teams, 250+ launches across the company, with 200+ publications, specialized in Anti-Abuse, Duplicate Detection, Keyword Targeting, Image Understanding, and more, built scalable tools for graph-based Building, Learning, Clustering, Sampling, Convolutional Networks, Label Propagation, Partitioning, Similarity Ranking, and Visualization. We became actively involved in Gemini Data - making contributions in several areas related to organizing data for Gemini, developing new datasets, and computing value of datasets. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities
Develop new methods for efficient dataset evaluation and curation, developing new methods for integration of structured data and GenAI and running experiments with small scale models. Develop pipelines and visualization toolkits for data evaluation, contributing to the foundations of Gemini Data infrastructure, and integrating and adapting these tools in various applications. Contribute to the Graph Mining library. Work involves a combination of C++ and Python development. 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 (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. 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.
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New York, NY, USA ; Mountain View, CA, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply link
Copy link info_outline
info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA; Mountain View, CA, USA . PhD degree in Computer Science or Computer Engineering, a similar technical field of study (e.g., Electrical Engineering, Mathematics, Information Technology), or equivalent practical experience. 2 years of experience leading a research agenda. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java). Research experience in Deep Learning or Graph Algorithms. Preferred qualifications:
Experience in large language models or graph mining research. Understanding of Algorithms. About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup 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, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Graph Mining team's mission is to build the most scalable and accessible graph library to empower teams across Google. We aim for graphs with XT nodes and XXT edges. In the past 13 years, we empowered 70+ teams, 250+ launches across the company, with 200+ publications, specialized in Anti-Abuse, Duplicate Detection, Keyword Targeting, Image Understanding, and more, built scalable tools for graph-based Building, Learning, Clustering, Sampling, Convolutional Networks, Label Propagation, Partitioning, Similarity Ranking, and Visualization. We became actively involved in Gemini Data - making contributions in several areas related to organizing data for Gemini, developing new datasets, and computing value of datasets. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities
Develop new methods for efficient dataset evaluation and curation, developing new methods for integration of structured data and GenAI and running experiments with small scale models. Develop pipelines and visualization toolkits for data evaluation, contributing to the foundations of Gemini Data infrastructure, and integrating and adapting these tools in various applications. Contribute to the Graph Mining library. Work involves a combination of C++ and Python development. 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 (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. 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.
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