Google is looking to integrate graph-structured data with foundation models and generative AI to improve model performance on challenging real-world problem settings
Requirements
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- Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript), including application of data structures and algorithms
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- Experience in Machine Learning (Graph Convolutional Networks, Deep Neural Networks, Transformers etc.) or related fields
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- Experience in large language models or graph mining research
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- Experience with data mining pipelines and Graph Mining library
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- Knowledge of deep learning frameworks and tools
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- Experience with natural language processing
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- Experience with hardware and software performance analysis
Responsibilities
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- Integrate graph-structured data with foundation models and generative AI
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- Develop novel methods to improve model performance on challenging real world problem settings and working with product teams to get these models out to users
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- Run experiments and document research results for academic conferences
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- Educate Googlers about best practices for learning and reasoning over graph data
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- Develop new data mining pipelines and make improvements to the Graph Mining library as needed
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- Setup large-scale tests and deploy promising ideas quickly and broadly
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Other
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- PhD degree in Computer Science, a related field, or equivalent practical experience
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- 2 years of experience with software development
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- Contribution to research communities or efforts, including publishing papers at conferences
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- Ability to manage deadlines and deliverables
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- Ability to work on real-world problems that span the breadth of computer science
