Senior Research Scientist, Graph Neural Network

Google•Mountain View, CA

1d•$174,000 - $252,000

About The Position

As a Research Scientist on the Graph Neural Network (GNN) team within OMEGA, you will pioneer research at the intersection of deep learning, structured data, and Large Language Models (LLMs). You will invent neural architectures, graph encoders, and agentic retrieval methods that bring relational reasoning to foundation models at massive scale. You will collaborate with partners across Google Research, Google DeepMind, and core product teams to translate theoretical breakthroughs into production-grade frameworks and next-generation AI capabilities. The GNN team bridges relational structure and deep learning, enabling graph-structured data to be integrated into neural networks and foundation models at massive scale. The team conducts fundamental research and builds production-grade frameworks to train and deploy models over complex, heterogeneous graphs. Its generative AI work includes structured data encoders, graph tokens, hybrid graph-sequence architectures, and graph-based retrieval and agentic systems to enhance LLMs. Google Research builds intelligent systems for Google products, using current computer science techniques and collaborating with teams across Google. Individual pay is determined by job-related skills, experience, and relevant education or training. The stated US compensation is $174,000–$252,000, plus a 15% bonus target, equity, and benefits.

Requirements

PhD in Computer Science, a related field, or equivalent practical experience.
2 years of experience leading a research agenda.
Experience with AI/ML technologies, such as deep learning frameworks (PyTorch, TensorFlow, JAX, Ray), AI accelerators (TPUs, GPUs), model architectures (encoders, decoders, transformers), or machine learning APIs.
One or more scientific publication submissions to conferences, journals, or public repositories, such as CVPR, ICCV, NeurIPS, ICML, or ICLR.

Nice To Haves

1 year of experience leading research efforts and influencing other researchers.

Responsibilities

Author research papers to share research results and generate impact across functions and in the research community.
Help grow the research business by sharing research trends and best practices within the community.
Drive project work by defining data structures, frameworks, designs, and evaluation metrics for research solution development and implementation.
Identify timelines and obtain resources needed for project work.
Discover emerging research areas by interacting with potential external and internal collaborators.
Help develop long-term research strategies and plans to expand the impact of Google Research.
Identify defined problems or gaps in existing technology and engage stakeholders and leaders to address them.