2026 AI/ML Intern - Machine Learning Engineer
仕事内容
Advance AI: Push the boundaries of AI solutions by improving model performance and building high-impact AI products for marketing, personalization, and customer experience.
Build, Scale, and Deploy ML Systems: Design, develop, and scale applications powered by predictive and generative models — including multimodal autonomous agents and agentic workflows, as well as personalization models for adaptive decision-making.
Operationalize ML: Apply ML and GenAI Ops guidelines to create scalable, reliable, and efficient AI/ML workflows.
Own the End-to-End Lifecycle: Contribute to architecture, experimentation, deployment, and production operations.
Shape Model Strategy: Analyze data and model performance to recommend algorithms, evaluation metrics, and governance approaches.
Collaborate and Innovate: Partner across research and engineering teams to translate innovative ideas into production-ready solutions.
Build, Scale, and Deploy ML Systems: Design, develop, and scale applications powered by predictive and generative models — including multimodal autonomous agents and agentic workflows, as well as personalization models for adaptive decision-making.
Operationalize ML: Apply ML and GenAI Ops guidelines to create scalable, reliable, and efficient AI/ML workflows.
Own the End-to-End Lifecycle: Contribute to architecture, experimentation, deployment, and production operations.
Shape Model Strategy: Analyze data and model performance to recommend algorithms, evaluation metrics, and governance approaches.
Collaborate and Innovate: Partner across research and engineering teams to translate innovative ideas into production-ready solutions.
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