pipelines achieving 99 % precision on DeFi fraud and DePIN node-failure prediction Design RAG embeddings and KAG graph... production endpoint Open-source federated PyTorch operator → 1,000+ stars Accepted paper + keynote at NeurIPS 2026 Top...
contributor to Neo4j, ArangoDB, or open-sourcegraph projects First-author papers at top database or systems venues Patents... Open-source Rust graph SDK reaching 1,000+ stars Accepted paper + keynote at GraphCon 2026 Top candidates: 6-hour live...
to Parquet and exporting data to S3 buckets Designing and optimizing schemas for Neo4j-based graph solutions Integrating... knowledge workflows and KB articles into graph structures for advanced retrieval Troubleshooting data quality issues...
emerging technologies (e.g., ML models, graph analytics) to enhance Insider Risk detection capabilities. Revisit Insider Risk... (APIs) from source systems of record to bring technical and non-technical indicators into the UEBA. Intermediate - Advanced...
platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily..., graph optimization, kernel fusion, and model partitioning. Experience with frameworks such as DeepSpeed, Megatron, vLLM...
emerging technologies (e.g., ML models, graph analytics) to enhance Insider Risk detection capabilities. Revisit Insider Risk... (APIs) from source systems of record to bring technical and non-technical indicators into the UEBA. Intermediate - Advanced...
intelligent automation. This role focuses on building modular, scalable agents using both open-source and proprietary large...: Design and implement AI agents using Python, integrating both open-source frameworks (e.g., LangChain, VLLM, Ollama...
, benchmark, and report performance trends at the operator and graph level. Document assumptions, APIs, and performance metrics... and ability to deliver well-documented, self-contained modules. Prior open-source contributions to PyTorch, TorchInductor...
, performance tuning, high-availability operations). Publication or open-source presence in the graph / recommendation / search... and equal opportunities. What you'll do Architect and evolve the graph data model that powers personalization, discovery...
visualizations in a knowledge graph tool for delivery to stakeholders Implement business concepts using ontology Understand... and develop new algorithms Statistical analysis to quantify completeness and validity of a data source Data organization...