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We're seeking a Senior Machine Learning Engineer to join our Content Suitability team. As a senior member of the team, you will be responsible for managing the end-to-end lifecycle of key large-scale ML models with billions of parameters,from initial data exploration and training to production deployment, monitoring, and ongoing optimization.

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You will work on implementing machine learning solutions for safety-related systems, help foster a culture of technical excellence and inclusivity, break down long-term product requirements into iterative deliverable stages, and collaborate with backend and ML engineers, and cross-functional teams to ensure deployment of models at a massive scale.

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You will possess or be pursuing a PhD or equivalent in Computer Science, Computer Engineering, Mathematics or a related field with solid fundamentals in one or more of the following: Computer Vision, Large Language Models (LLMs) and Deep Learning.

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You will have familiarity with large-scale content understanding problems (e.g., text, image, video classification), experience with cloud-based ML platforms and infrastructure, and strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems.

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XML job scraping automation by YubHub

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