Machine Learning Engineer
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Le poste
Lead the design and development of a compute platform and ML libraries for large-scale training and simulation workloads.
Focus on platform stability and efficiency across CPU and GPU clusters, ensuring observability and scalability.
Use cluster monitoring and profiling tools to identify bottlenecks and optimize infrastructure and software systems.
Design, deploy, and optimize PB-scale data/model training and simulations using existing research infrastructure.
Support machine learning researchers and data scientists to productionize workloads and address production challenges.
Operate in a high-trust, low-bureaucracy environment with cutting-edge infrastructure and datasets to push AI innovation.
Focus on platform stability and efficiency across CPU and GPU clusters, ensuring observability and scalability.
Use cluster monitoring and profiling tools to identify bottlenecks and optimize infrastructure and software systems.
Design, deploy, and optimize PB-scale data/model training and simulations using existing research infrastructure.
Support machine learning researchers and data scientists to productionize workloads and address production challenges.
Operate in a high-trust, low-bureaucracy environment with cutting-edge infrastructure and datasets to push AI innovation.
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