in reinforcement learning, meta learning, or related advanced ML areas. Experience with search/ranking, recommender systems, or graph... platforms such as AWS Sagemaker, EKS, etc. Published research or contributions to open-source GenAI/LLM projects. #LI-RB3...
next-generation GPU architecture and software stack design. - Contribute to and lead open-source efforts to improve ecosystem... with compiler stacks, kernel optimization, or graph-level optimization is a strong plus. - Demonstrated technical leadership...
approaches for ontology and graph development, ontology validation and terminology mappings. Analyze extracted information..., putting data science into production;utilizing nix systems, open-source software, Jupyter notebook hubs, cloud computing...
, multi-source data integration, and AI-driven decision support. You will define what signals our sensors should capture... to support multi-source fusion at scale Define data science roadmap aligned with product development milestones and customer...
and development, and corporate strategic initiatives. Remain current on open-source, industry, academia, and US Government techniques..., and multispectral and hyperspectral imagery or synthetic aperture radar. Familiarity working with spatiotemporal data in graph...
Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source... ( ), logs ( ), and traces ( ). We're scaling fast and staying true to what makes us different: an open-source legacy, a global...
across the fraud prevention landscape. From deep learning and graph-based modeling to reinforcement learning and risk foundation... Qualifications: Research experience in ML/AI areas with publications or open-source contributions a plus Experience...
lineage features to create a transparent, end-to-end view of data flow from source to final models, visualizing dependencies... via the Directed Acyclic Graph (DAG). Enrich models with metadata and documentation using schema.yml to improve data...
(CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models..., or reinforcement learning. Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras...
encompasses agentic orchestration, model gateway infrastructure, knowledge graph services, semantic memory systems, MCP registries... for Adobe Intelligence Platform, including agentic orchestration, model gateways, MCP registries, knowledge graph infrastructure...