…building and scaling modern data infrastructure. This is a full-time, hybrid position based out of our Toronto office. Our hybrid work model offers…

…About the role Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage. Collaborate with data scientists, analysts…

…and own outcomes against it. - Build the shared measurement infrastructure. Help build the systems that let any pod define quality, run experiments, compare models…

…to-market motion. - Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment. COMPENSATION…

…scientists, and designers to define and execute experimentation strategies. Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and…

…Partner with Applied Science to convert AI research prototypes into production systems with clear quality, latency, cost, reliability, safety, and governance targets. Entity Intelligence…

…and model serving infrastructure that ensure optimal performance, reliability, and low-latency inference for both traditional ML models and generative AI systems. - Architect and…

…across Amazon’s infrastructure, including advanced persistent threats. You’ll work with software development engineers, security engineers, and other applied scientists across multiple teams…

…and Data Engineers, Researchers, Data Scientists to transform raw data into high-quality, performant data models and insights that drive critical business understandings and…

…Engineers here work on API design, data modeling, pipeline architecture, and the schema and query infrastructure that keeps data fast, correct, and accessible. Ops…

…Engineers here work on API design, data modeling, pipeline architecture, and the schema and query infrastructure that keeps data fast, correct, and accessible. Ops…

…and role model publishing of research results at peer-reviewed venues when appropriate and not precluded by business considerations - Actively participate in hiring and…

…and accessibility. - Deep understanding of relational databases (e.g., PostgreSQL), data modeling, and system design. - Experience with cloud infrastructure (AWS, GCP), deployment pipelines, and…

…and accessibility. - Deep understanding of relational databases (e.g., PostgreSQL), data modeling, and system design. - Experience with cloud infrastructure (AWS, GCP), deployment pipelines, and…

…Demonstrated communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Program Managers, Security Researchers, and Data Scientists. Software…

…and national security organizations to accelerate the development of reliable, mission-ready AI capabilities. Our work spans AI evaluation and benchmarking, data development, model…

…agentic systems, and workflow optimization pipelines • Building and optimizing inference infrastructure for multimodal models at scale, including embedding-based systems, and cascaded inference architectures…

…control and AI to build on our existing modeling foundation — defining and driving the roadmap for intelligent control that improves efficiency, reliability, and sustainability…

…Track record building internal platforms, developer tools, or ML/AI evaluation infrastructure — products whose users are engineers and scientists, where the bar is set…

Meta is looking for Research Scientists to join our AI Verification team. For these positions we are looking for people with experience in model…

…scientists to move research into production and measure impact through real-world metrics. On any given day, you might be profiling a new model…

…and algorithms to improve the scalability, efficiency, and reliability of GenAI systems Innovate and co-design novel model deployment techniques for sustained scaling and…

…detect and recover from radiation-induced upsets without data loss Lead the ZFS pool topology architectural decisions by building quantitative reliability models that balance…

…problem formulation, data analysis, feature engineering, model development, offline and online evaluation, and reliable production deployment. * Build and continuously optimize recommendation systems with strict…

…model development needs - Build and iterate on teleoperation workflows and operator interfaces to support efficient, reliable, and scalable data collection - Analyze evaluation results and…