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, interfaces, and controllers such as, but not limited to, the Neve 88RS; SSL Duality SE; API Legacy Plus and 1608; Avid HDX systems, S3, S6, XMon, MTRX, Artist Control and Artist Mix Ability to function well
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every box. Familiarity with LLM development tools such as the OpenAI Assistants API, LangChain (for agent workflows and RAG pipelines), Gemini Studio on Google Vertex AI (for long-context prompt
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evaluations. Data Management and Knowledge Generation (50%) Use a strong proficiency with SQL as well as a working knowledge of Python, R, Spark, and/or Google Workspace to gather, create, and use datasets
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of audio systems, consoles (Neve, SSL, API, Avid), DAWs, and music tech workflows. Strong troubleshooting skills, customer service focus, and a proactive approach to problem-solving. Ability to work under
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frameworks like React, Angular or Vue.js) and back-end development using Next.js or Node.js. Knowledge of API integration with a basic CMS as well as DevOps (e.g., AWS, Google Cloud, or Vercel) is also
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), Information Retrieval (IR), Retrieval-Augmented Generation (RAG), and AI/ML-based systems). Build and manage data pipelines using open-source or cloud tools (e.g., Apache Airflow, AWS Managed Workflows, Google
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experience with building web applications, form builders, and automation tools (e.g. AEM, Make.com, Google Developer Console, Typeform, Inxmail, Mailchimp, Zapier, Wix Velo) Proficiency in JavaScript and
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collaboration platforms (e.g., Microsoft 365, Box, Google Workspace, Zoom, Slack). Familiarity with AI services such as AWS Bedrock, Azure OpenAI, or similar platforms. Proficiency in scripting and automation
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
knowledge transfer and adherence to best practices. Experience in utilizing automation tools such as PowerShell, Unix shell scripting, and APIs to streamline administrative tasks, enhance system efficiency
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applications and tools, such as Java, Python, Jupyter Notebook, HTML, CSS, JavaScript, Git, APIs; Demonstrate knowledge of AWS and Google Colab; and Experience with Unix/Linux environment and high performance