(Senior) Staff Research Scientist | Voice
DeepLMunichPosted 9 March 2026
Job Description
(Senior) Staff Research Scientist | Voice
MEET DEEPL
DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Building on a history of innovation, quality and security, DeepL continues to expand its offerings beyond the field of Language, including DeepL Agent - an autonomous AI assistant designed to transform the way businesses and knowledge workers get work done. Founded in 2017 by CEO Jarek Kutylowski, DeepL now has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures.
Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination.
WHAT SETS US APART
What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.
When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture.
What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL onLinkedIn https://www.linkedin.com/company/deepl/,Instagram https://www.instagram.com/deepl_official/, and our Blog https://www.deepl.com/en/blog.
MEET THE TEAM
DeepL Voice is defining the future of real-time multilingual communication. Built on the foundation of DeepL’s world-leading translation quality, the Voice Track brings together cross-functional teams across Research, Engineering, and Product to push the boundaries of what is possible in speech-to-speech interpretation.
In just two years, we have launched our first customer-facing features and built reliable real-time systems for meetings, live communication, and developer integrations. We are now scaling up our research efforts to invent the next generation of audio, speech, and multimodal translation technologies.
WHAT WILL YOU BE DOING AT DEEPL VOICE
We’re looking for a Senior Staff Research Scientist to lead scientific innovation across our speech and translation models. This is a high-impact, hands-on role for a research leader who can define long-term scientific strategy, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production.
You will work across ASR, MT, TTS, streaming inference, and large speech models—leading both cascaded and emerging end-to-end internationalized speech-translation approaches.
YOUR RESPONSIBILITIES
- Lead hands-on research and development across ASR, MT, TTS, and speech-to-speech translation for real-time voice products.
- Design, train, and optimize large-scale ASR models for multilingual accuracy, robustness, and ultra-low-latency streaming.
- Improve cascaded translation pipelines end to end: segmentation, ASR→MT interfaces, streaming MT inference, and incremental decoding.
- Develop and refine real-time TTS models with natural prosody, stable speaker characteristics, and fast inference.
- Build and experiment with end-to-end and LLM-based speech-to-speech translation systems, including streaming and one-shot approaches.
- Own the full lifecycle of model d ... (truncated, view full listing at source)
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