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Join our Machine Learning Operations team for AGI at Amazon! We build and maintain the infrastructure and tooling that enable our Scientists to work on state-of-the-art models. We own the entire machine learning lifecycle, including: data preparation, model training, inference, evaluation, release and deployment. Specifically, we are seeking a passionate Machine Learning Engineer who is: 1) capable of designing and building scalable, reliable ML infrastructure on AWS, solving novel engineering challenges when no textbook solutions exist; 2) eager to collaborate with Scientists to understand their workflows and bring research innovations into production-ready systems. If you thrive in ambiguous environments at the intersection of software engineering and machine learning, this position is for you! Join us and be part of the team shaping the future of speech synthesis, enabling new and exciting GenAI experiences for millions of users worldwide. 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"description_excerpt": "Staff Product Designer San Francisco | Hybrid | Remote ABOUT US Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ABOUT THIS ROLE Speak is seeking an experienced Product Designer to join our growing team! This is a unique opportunity to help shape the future of language learning. This IC role will help designing innovative AI-driven conversational experiences that redefine how language is taught and learned. 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Large-scale language models are evolving from clever chatbots into powerful engines of linguistic and cultural understanding. With high-quality training data, tomorrow's AI can democratize education, accelerate research, and support global communication across languages and contexts. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for German speakers who understand the nuances of grammar, usage, spelling, tone, and cultural context in both formal and informal German. You'll challenge advanced AI models with linguistic edge cases, cultural subtleties, translation ambiguities, and phrasing differences-documenting model failures and guiding improvements with clarity and precision. On a typical day, you will engage in text-based conversations with the model, evaluate its responses for accuracy and fluency, annotate linguistic patterns, test comprehension across a range of German language inputs, and suggest refinements to prompts and evaluation methods. A background in linguistics, translation, writing, localization, or teaching is ideal. Experience with German language instruction, editing, or QA is a strong signal of fit. Clear communication and a reflective approach to language-explaining not just what is correct, but why-is essential. Ready to turn your German fluency into the foundation for tomorrow's AI? Apply today and help train the model that will teach the world. 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