lovelace · Lovelace HQ
Skills: Docker
About Us: Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis. Lovelace’s context engine platform, Elemental, uniquely integrates data ingestion, entity resolution, and graph building into a single pipeline that empower agentic deployments, delivering 1000X the investigative power for complex queries. With its proprietary ground-breaking YottaGraph, Lovelace provides enterprises with real-time, real-world context, enabling agents to understand the impact of global intelligence on enterprise data for unmatched insights with millisecond precision. Founded in 2023 by Andrew Moore, former head of Google Cloud AI, dean of Carnegie Mellon’s School of Computer Science, and first AI advisor for U.S. CENTCOM, Lovelace currently works with some of the largest public and private enterprises in the world. Job Summary: - The Staff AI Research Engineer will lead the design, development, and deployment of advanced AI models and systems that power Lovelace’s context engine and agentic platforms. Day-to-day responsibilities include researching and productionalizing ML models, pipelines, and services and working closely with product management and infrastructure engineers. In this role you will develop key components of the Elemental platform including multimodal data ingestion, entity resolution and knowledge graph construction, and agentic search. The Staff AI Research Engineer will mentor team members, collaborate cross-functionally with product and infrastructure groups, and contribute to externally facing research, technical documentation, and internal best practices. This is a full-time, on-site role based in Pittsburgh, PA. Qualifications: - Strong foundation in Machine Learning and AI Engineering, with experience building and scaling production-grade AI systems. - Graduate…
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