avra

Artificial Intelligence

• Own the research roadmap for our Graph Foundation Models, focusing on knowledge graphs, representation learning, self-supervised and unsupervised methods
• Lead, mentor, and grow a world-class team of research scientists and engineers
• Establish and champion a rigorous research cadence: from hypothesis definition and RFCs to disciplined experimentation and clear, data-driven decision-making
• Design and implement state-of-the-art GNNs for our unique, large-scale graph; solve complex problems in node, edge, and graph-level tasks, multi-scale embeddings, and temporal/inductive generalization
• Build reliable, reproducible training and evaluation pipelines using PyTorch, PyG, and distributed training frameworks
• Define and maintain our gold-standard benchmarks, ensuring statistically sound model comparisons
• Collaborate with Product Engineering to productionize models to serve both batch and online inference to our customers
• Partner with GTM teams to define success criteria for enterprise client bake-offs and communicate the impact of your team's work to technical and executive stakeholders
• Ensure research accounts for real-world systems challenges, including concept drift, and improve strategy for model deployment in regulated contexts

Head of Research, AI