> Markdown version of [/jobs/ext/1247581-researcher-applied-ai-all-genders](https://www.wearedevelopers.com/jobs/ext/1247581-researcher-applied-ai-all-genders). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Researcher Applied AI (all genders) - **Company:** NFON AG - **Location:** München, Germany - **Salary:** €58,000.0 - €78,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Open Source Technology, Speech Recognition, Pytorch, Free and Open-Source Software - **Published:** July 12, 2026 - **Apply:** https://www.xing.com/jobs/bremen-researcher-applied-ai-genders-156201673 ## About the Role * A strong background in machine learning gained through industry experience, academic research, or a PhD, combined with solid hands-on expertise in PyTorch. * Experience implementing and reproducing research papers, with the ability to identify the gap between published results and real-world applications. * A structured, scientific approach to experimentation, with a focus on reproducibility, fair comparisons, and reliable evaluation. * Strong Python programming skills and the curiosity to explore unfamiliar technical challenges. * Ideally, personal machine learning projects, publications, or open-source contributions. Experience in speech AI is a plus, but not a requirement. * A collaborative mindset and experience working in agile teams. ## Description * Continuously monitor AI research and the open-source ecosystem to identify technologies with real product potential. * Reproduce promising research papers and models, validating results and assessing their practical applicability. * Design and run rigorous experiments, including ablation studies, benchmarking, and systematic evaluations. * Extend existing approaches with your own ideas, particularly in the areas of text-to-speech (TTS) and speech-to-text (STT). * Collaborate closely with engineering teams to transform research outcomes into production-ready AI systems. * Share insights and contribute to a culture of continuous learning and innovation. ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Building a Browser-Based Karaoke Game with Web Speech API](https://www.wearedevelopers.com/videos/1274-building-a-browser-based-karaoke-game-with-web-speech-api) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx) - [Is the web ready for voice user interfaces?](https://www.wearedevelopers.com/videos/1142-is-the-web-ready-for-voice-user-interfaces) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)