Machine Learning Engineer - TRAE USDS
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The role
Design, train, and fine-tune large language models (LLMs) to support the product’s core reasoning and code generation capabilities.
Build efficient, stable, and scalable model training and evaluation pipelines.
Collaborate with infrastructure and product teams to deploy and monitor models efficiently on GPU clusters.
Continuously optimize models for latency, throughput, and accuracy, applying cutting-edge techniques in model optimization and inference acceleration.
Stay up to date with the latest advancements in large-model training and deployment, and translate them into production-ready solutions.
This role operates within a hybrid work model and requires effective collaboration across cross-functional teams.
Build efficient, stable, and scalable model training and evaluation pipelines.
Collaborate with infrastructure and product teams to deploy and monitor models efficiently on GPU clusters.
Continuously optimize models for latency, throughput, and accuracy, applying cutting-edge techniques in model optimization and inference acceleration.
Stay up to date with the latest advancements in large-model training and deployment, and translate them into production-ready solutions.
This role operates within a hybrid work model and requires effective collaboration across cross-functional teams.
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