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2 thesis artificial intelligence jobs found in Hamburg

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Speechify
22/04/2026
Full time
Software Engineer, Data Infrastructure & Acquisition - Hamburg, Germany
Speechify Hamburg, Germany
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team...
Securepoint GmbH
17/04/2026
Full time
Machine Learning Engineer (m/f/d)
Securepoint GmbH Hamburg, Germany
Permanent position, full-time Work location: Lüneburg Catchment area: Lüneburg, Hamburg, Uelzen and surrounding areas Introduction Do you want to develop innovative software solutions using artificial intelligence and design real-world applications with state-of-the-art technologies? Then take on a key role with us in the conception and implementation of pioneering AI systems. Your tasks They develop and implement machine learning and AI models for innovative software solutions. They analyze and model large amounts of data as a basis for powerful algorithms. They design and optimize classification and recognition mechanisms for automated data analysis. They integrate AI components into backend and cloud architectures and improve them in terms of performance and scalability. They validate and monitor models throughout the entire ML lifecycle and work closely with relevant departments. That's what we want. Completed...
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