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Develop and optimize distributed training frameworks for large language models, ensuring scalability and performance across training pipelines.

The role focuses on optimizing data pipelines and checkpoint mechanisms for large-scale ML workloads, improving performance and reliability.

The Large-scale Training Resilience Engineer will develop and optimize resilient systems for distributed AI training, ensuring reliability and performance while collaborating with teams to enhance fault tolerance and monitoring.

Design and build production systems for AI inference, optimize runtime services, and collaborate on AI solutions with researchers and engineers.

Develop systems and APIs for LLM inference and fine-tuning. Design production systems, collaborate with teams, and improve system efficiency.

The Senior Data Engineer will build and operate data infrastructure for high-volume event processing, enhance scalability, and collaborate with product teams on analytics systems.

Design and build scalable, fault-tolerant machine learning systems while collaborating with researchers and ensuring system health through monitoring.

The role involves designing and optimizing distributed inference engines for multimodal LLMs, ensuring high performance and cost efficiency.

The role involves developing and optimizing GPU-accelerated kernels for ML/AI applications, collaborating with teams to enhance AI systems' performance.

This role involves designing scheduling algorithms and optimization techniques for large-scale AI workloads, ensuring efficient resource allocation and performance optimization.