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focus primarily on one of two areas: Web Data, NLP & LLM Pipelines scraping and extracting web content and maintaining reproducible data-collection pipelines interacting with LLM APIs (e.g., OpenAI
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without losing data. Front-end Development: Build visualization dashboards (Grafana) and remote experimentation APIs to give researchers live insight into grid behavior and improve user experiences on our
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skills: services, APIs, data pipelines, containers, CI/CD. Hands-on experience with modern AI/ML tooling (LLM APIs, agent frameworks, RAG pipelines, PyTorch, HuggingFace) and with model optimization and
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, YouTube, Vimeo, Google Drive, etc.) and include the link in your letter of motivation. Please note that we exclusively accept applications submitted through the ETH Zurich online application portal
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perfectly sufficient. Please then upload the video to a platform of your choice (Dropbox, YouTube, Vimeo, Google Drive, etc.) and include the relevant URL link in your cover letter. Start date: October 1st
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, transformation codes, and versioning routines Building and maintaining data acquisition routines, including APIs, web scraping, and automated downloads where feasible Conducting descriptive analysis and
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platform of your choice (e.g., Dropbox, YouTube, Vimeo, Google Drive, etc.) and include the link either in your CV or in the comment field of the online application portal. Please note that we exclusively
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with LLM APIs, open models, evaluation pipelines, orchestration frameworks, and related tooling. Familiarity with model adaptation, fine-tuning, or related optimization methods. Experience with cloud
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the video to a platform of your choice (Dropbox, YouTube, Vimeo, Google Drive, etc.) and include the URL link in your cover letter. Further information about ETH Zurich Space can be found on our Website
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to contribute to and collaborate with the ETH AI Center and engage in ETHAR, ETH's Research Hub for Augmented Reality in collaboration with Google XR. The position provides access to infrastructure for wearable