- Location
- Mountain View, CA, United States · Hybrid
- Compensation
- $174,000 - $252,000 USD annually
- Employment
- Not stated
- Experience level
- MID (2–5 years exp)
- Specialization
- Research Scientist, Scientist, Google
- Source
Role Overview
As a part of the Graph Neural Network (GNN) team, you will bridge relational structure and deep learning, making it seamless to integrate graph-structured data into neural networks and foundation models at massive scale. As a part of the team, you will conduct fundamental research and build production-grade frameworks to train and deploy these models over complex, heterogeneous graphs. Recently, the team's work has expanded into generative AI, developing structured data encoders, graph tokens, hybrid graph-sequence architectures, and graph-based retrieval and agentic systems to enhance Large Language Models (LLMs).
Responsibilities
- Author research papers to share and generate impact of research results across function and in the research community.
- Help in growing research business by sharing research trends and best practices within the community.
- Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
- Discover new and upcoming research areas by interacting with potential external and internal collaborators, helping to develop long-term research strategies and plans to expand the impact of Google research.
- Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
Requirements & Qualifications
Minimum qualifications:
- PhD in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience leading a research agenda.
- Experience with AI/ML technologies (e.g., frameworks for deep learning (PyTorch, TensorFlow, Jax, Ray), AI accelerators (TPUs, GPUs), model architectures (encoders, decoders, transformers), or using machine learning APIs).
- One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
Preferred qualifications:
- 1 year of experience leading research efforts and influencing other researchers.
Application Instructions
Apply directly on Google Careers at Senior Research Scientist, Graph Neural Network.
Direct application sign-in: Submit Application