OpenAISan Francisco, CABuild and operate reliable, scalable infrastructure and automation for OpenAI's research workloads and data systems (acquisition, processing, ingest, search). Requires strong systems and distributed systems experience, Kubernetes, Linux, networking, and software engineering to improve reliability and reduce operational toil.
Designs and implements dataset infrastructure for OpenAI's large-scale LLM training stack, including standardized APIs for multimodal data, scaling pipelines across GPU fleets, and performance debugging. Requires strong distributed systems experience and collaboration with researchers.
Build and operate high-frequency facilities telemetry data pipelines (power, cooling, BMS, sensors) for scaling AI data centers. Stand up ingestion/streaming infrastructure, automate deployments with IaC, and own end-to-end reliability for gigawatt-scale operations.
Build and own the facilities data pipeline for AI data center telemetry, including ingestion from industrial protocols (BACnet, Modbus, OPC UA), data quality tooling, and serving clean APIs/datasets for dashboards, controls, and ML. Requires production data pipeline experience with on-call ownership, industrial protocol integration, and full-stack debugging.
Build and own production data pipelines, knowledge graph data models, and structured datasets from messy sources (PDFs, spreadsheets, telemetry) to power internal tools, dashboards, and ML models at a frontier AI compute infrastructure company. Requires experience operating depended-on pipelines, schema modeling, data quality engineering, and unstructured data extraction.
Data Operations Manager responsible for building and scaling data strategies, vendor partnerships, and high-quality data pipelines to advance frontier AI research in RLHF, safety, tool use, and agentic systems at Anthropic. Requires 3+ years operations/PM experience, strong project management, data analysis skills, and passion for AI safety.