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...
, 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...
-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...
, 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...
rigor and capability. Design and implement a source acquisition model focused on special nuclear material. Develop and use... operations research techniques such as mathematical optimization, decision analysis, graph theory, and statistical analysis...
: data modeling & ontologies, data platform & lakehouse architecture, and knowledge graph & specialized data systems... automation systems to the data infrastructure. Knowledge Graph & Specialized Data Systems Design and implement knowledge...
architectural approaches and open-source frameworks and resources to overcome your clients’ most difficult challenges. You’ll use... of Linux shell scripting and automation Knowledge of relational databases (RDMS), NoSQL, columnar, and graph data stores...