2026 University Graduate - Machine Learning Engineer
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Die Stelle
Lead the design, development, and deployment of large-scale ML systems for content understanding, generative AI agents, and discovery workflows.
Architect end-to-end pipelines and GPU-accelerated algorithms suited for production at massive scale.
Collaborate with architects, product management, and engineering teams to translate requirements into practical ML solutions.
Prototype and deploy models using PyTorch, Hugging Face, and other state-of-the-art tools, optimizing performance and latency.
Explore emerging ML technologies and build runtimes and libraries to keep ahead of the field.
Communicate complex technical concepts clearly, contribute to robust documentation, and participate in code reviews.
Architect end-to-end pipelines and GPU-accelerated algorithms suited for production at massive scale.
Collaborate with architects, product management, and engineering teams to translate requirements into practical ML solutions.
Prototype and deploy models using PyTorch, Hugging Face, and other state-of-the-art tools, optimizing performance and latency.
Explore emerging ML technologies and build runtimes and libraries to keep ahead of the field.
Communicate complex technical concepts clearly, contribute to robust documentation, and participate in code reviews.
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