Builds and owns data pipelines, ETL processes, and infrastructure to power reporting and decision-making. Requires 4+ years experience with Python, PostgreSQL, Snowflake, and data modeling.
Builds and operates Habitat, OpenAI's core online database platform handling high-QPS, latency-sensitive workloads. Owns end-to-end distributed systems for storage, caching, routing, CDC, and privacy; requires 8+ years experience with Rust/Python expertise.
Builds and maintains scalable data processing pipelines and backend systems for a data curation platform that optimizes training data for ML models. Partners with researchers to integrate research capabilities, ensuring reliability and security for customer data.
Builds scalable data pipelines and infrastructure for AI research, processing petabyte-scale anime data across 10k GPUs. Partners with researchers using distributed systems, big data tools, cloud services, requires 3+ years generalist experience.
Research Engineer owning datasets for training world simulation AI models, designing multimodal datasets, running experiments, and building data pipelines to enhance model capabilities across tasks like robotics and creative tools. Requires 4+ years in ML with experience in generative models and frameworks like PyTorch or JAX.
Builds and operates scalable data infrastructure including compute fleets, storage systems, and streaming platforms to support OpenAI's AI products, research, and analytics. Requires 4+ years in data or infrastructure engineering with expertise in Spark, Kafka, and distributed systems.
Build and manage data pipelines and canonical datasets for product metrics, safety systems, and business decisions. Collaborate with cross-functional teams including Data Science and Research; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.
Builds and leads data acquisition systems including web crawling, ingestion, and scalable distributed processing for model training. Requires 4+ years experience, expertise in Kubernetes and large-scale data systems, and BS/MS/PhD in Computer Science.
Builds ETL pipelines and Python scripts to ingest, transform, and manage customer R&D datasets for a scientific web platform. Targets recent graduates with Python scripting, data manipulation experience, and CS coursework.
Build and refine data models using SQL and Python to enable self-service analytics, analyze customer data, and collaborate with cross-functional teams. Requires 5+ years experience in analytics/data roles and strong data modeling skills.
Builds and owns data pipelines, ETL processes, and infrastructure to power reporting and decision-making. Requires 4+ years experience with Python, PostgreSQL, Snowflake, and data modeling.
Builds and operates Habitat, OpenAI's core online database platform handling high-QPS, latency-sensitive workloads. Owns end-to-end distributed systems for storage, caching, routing, CDC, and privacy; requires 8+ years experience with Rust/Python expertise.
Builds and maintains scalable data processing pipelines and backend systems for a data curation platform that optimizes training data for ML models. Partners with researchers to integrate research capabilities, ensuring reliability and security for customer data.
Builds scalable data pipelines and infrastructure for AI research, processing petabyte-scale anime data across 10k GPUs. Partners with researchers using distributed systems, big data tools, cloud services, requires 3+ years generalist experience.
Research Engineer owning datasets for training world simulation AI models, designing multimodal datasets, running experiments, and building data pipelines to enhance model capabilities across tasks like robotics and creative tools. Requires 4+ years in ML with experience in generative models and frameworks like PyTorch or JAX.
Builds and operates scalable data infrastructure including compute fleets, storage systems, and streaming platforms to support OpenAI's AI products, research, and analytics. Requires 4+ years in data or infrastructure engineering with expertise in Spark, Kafka, and distributed systems.
Build and manage data pipelines and canonical datasets for product metrics, safety systems, and business decisions. Collaborate with cross-functional teams including Data Science and Research; requires 3+ years data engineering experience with Spark, ETL tools, and distributed systems.
Builds and leads data acquisition systems including web crawling, ingestion, and scalable distributed processing for model training. Requires 4+ years experience, expertise in Kubernetes and large-scale data systems, and BS/MS/PhD in Computer Science.
Builds ETL pipelines and Python scripts to ingest, transform, and manage customer R&D datasets for a scientific web platform. Targets recent graduates with Python scripting, data manipulation experience, and CS coursework.
Build and refine data models using SQL and Python to enable self-service analytics, analyze customer data, and collaborate with cross-functional teams. Requires 5+ years experience in analytics/data roles and strong data modeling skills.