The Opportunity We’re building Graph, a node-based creative platform that is simultaneously a powerful developer... of this system: from the real-time interactive graph editor used by creators, to the distributed execution engine that powers APIs...
creation of modeling data from original data source(s) to final modeling dataset. Act as a key collaborator with modelers... in study reports and regulatory submissions. Ensure programmatic traceability from data source to modeling result. Support...
, reranking Embedding models — OpenAI text-embedding-*, Cohere, open-source (BGE, E5) Agent frameworks — LangChain, LlamaIndex...-driven architecture — async pipelines for ingestion, enrichment, and inference Graph databases — Neo4j for knowledge graphs...
, and governed AI;the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source...About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the...
-focused products that let coding agents generate, refactor, and optimize CUDA kernels and graph-level execution plans...-source projects (e.g., Triton, TVM, FlashAttention, kernel libraries, agent frameworks) with clear community adoption...
as needed, ensuring reliable delivery of data from source systems into customer-facing products and services. Lead complex geospatial... processing and analysis such as multi-source data integration, conflation, and large-scale QA/QC, applying expert judgment...
and use of technologies such as messaging frameworks (i.e. Kafka and RabbitMQ), API gateways, SQL/NoSQL/Graph databases... in open-source platform and infrastructure technologies Familiarity with observability stacks (e.g., Prometheus, Grafana...
, governing, and continuously improving the “Product Truth”—from complex multi-source ingestion through enrichment and publication... and survivorship rules. Build and maintain a related-part relationship graph (substitutes, accessories, kits, required/compatible...
) with contributions to core services written in those languages. Vector and graph database expertise. Agentic/Autonomous Workflow Design... thought leadership - publications, patents, or open-source contributions in IR, LLM integration, or MLOps that influence...
, and reasoning. Memory, Reasoning, Graph RAG & Model Context Implement short-term, long-term, vector, semantic, episodic..., and graph-based memory strategies. Design and develop Graph RAG pipelines using knowledge graphs to enable grounded...