) that aligns with structured knowledge formats favored by LLMs, such as Q&A formatting, schema markup, and authoritative source... for B2B companies (ideally SaaS or technology). Strong understanding of entity-based search tactics, Knowledge Graph...
our source control platforms, enabling development of new products. Our mission is to accelerate engineering velocity... organization. Strong instincts for dependency management: you can build a dependency graph, read it for risk, and drive...
with graph neural networks (GNNs) or geometric deep learning for circuit and netlist analysis Background in reinforcement... such as NVIDIA, AMD, Intel, Google DeepMind, or similar AI/HPC-focused companies Published research or open-source contributions...
and frameworks, and open-source resources to overcome your clients’ most difficult challenges. You’ll share your development... with design specifications Knowledge of source control such as GIT Ability to work within a collaborative, cross-functional...
developments in deep learning and transformer architectures, graph approaches. On this team, team members apply the latest research... a broad stack of technologies - Python, AWS, Spark, modern state of the art models like transformers, graph ML...
/Knowledge architecture team to map source data to canonical entities, relationships, and attributes, enabling graph ingestion... Data Standard (IDS) and knowledge graph, enabling a unified, high-quality data ecosystem that supports analytics...
smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial... models, generative AI architectures, or diffusion models. Background in deep learning compilers, both graph-level...
ontologies, logical data models, graph modeling, semantic technologies, entity resolution, taxonomy management, and metadata... including Prometheus, Grafana, ELK, Kafka clusters, and graph database technologies Ability to translate business...
, logical data models, graph modeling, semantic technologies, entity resolution, taxonomy management, and metadata tagging..., ELK, Kafka clusters, and graph database technologies Ability to translate business and operational requirements...
smoothly transition into open-source releases, upstream framework integrations, internal tools, or closed-source commercial..., etc). Background in deep learning compilers, both graph-level and codegen (e.g., Triton, XLA, torch compile) Experience...