Senior Research Scientist, Graph Neural Network
New York, NY, USA · Senior · Full-time · Posted Oct 27, 2026
- Experience
- 2 years leading a research agenda; preferred: 1 year leading research efforts and influencing other researchers.
- Education
- PhD in Computer Science, a related field, or equivalent practical experience.
About the job
Conducts research on graph neural networks and structured data, developing architectures and retrieval methods that integrate graph data with foundation models and LLMs at scale.
What you'll do
- Author research papers and share research findings and best practices.
- Define research project data structures, frameworks, designs, evaluation metrics, timelines, and resource needs.
- Identify research opportunities and technology gaps, and collaborate with stakeholders to advance research strategy and impact.
What they ask for
- 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, AI accelerators, model architectures, or machine learning APIs.
- At least one scientific publication submission to a conference, journal, or public repository.
Nice to have
- 1 year of experience leading research efforts and influencing other researchers.
Pay
$174000 - $252000 USD (base salary)
Tools
PyTorch, TensorFlow, Jax, Ray, TPUs, GPUs, encoders, decoders, transformers
AI focus
Fundamental and applied research on graph neural networks, graph encoders and tokens, hybrid graph-sequence architectures, and graph-based retrieval and agentic systems to enhance LLMs and foundation models.
Model-written summary · the original posting is authoritative