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Описание вакансии
Текст:
TL;DR
Senior Staff Research Scientist (AI): Building and deploying real-time multilingual speech-to-speech translation systems across ASR, MT, TTS, and large speech models with an accent on low-latency streaming, model quality, and production reliability. Focus on designing large-scale speech models, optimizing inference, and integrating research breakthroughs into real-time voice products.
Location: London, United Kingdom
Company
DeepL is an AI product and research company developing secure language AI solutions for translation, writing assistance, and real-time voice communication.
What you will do
- Lead hands-on research and development across ASR, machine translation, TTS, and speech-to-speech translation for real-time voice products.
- Design, train, and optimize large-scale multilingual ASR models for accuracy, robustness, and ultra-low-latency streaming.
- Improve cascaded translation pipelines, including segmentation, ASR-to-MT interfaces, streaming inference, and incremental decoding.
- Develop real-time TTS and end-to-end or LLM-based speech-to-speech translation systems.
- Own model delivery from prototyping and experimentation through evaluation, optimization, and production deployment.
- Collaborate with engineering teams, mentor researchers and engineers, and improve model reliability, monitoring, serving, and operational quality.
Requirements
- Deep expertise in speech, audio, or multilingual machine learning, especially ASR, MT, TTS, end-to-end speech translation, or large speech models.
- Hands-on experience training models, running experiments, debugging pipelines, and integrating machine learning systems into production.
- Strong understanding of real-time streaming constraints and low-latency model design.
- Experience shipping and maintaining machine learning models at scale, including deployment, monitoring, and serving.
- Strong coding and experimentation skills with Python, PyTorch or JAX, and audio processing libraries.
- Experience leading complex research efforts, communicating clearly across teams, and mentoring others.
Culture & Benefits
- Work with cross-functional Research, Engineering, and Product teams on real-time multilingual communication.
- Contribute to products used by businesses and individuals across global markets.
- Work in an environment emphasizing innovation, collaboration, authenticity, diversity, growth, and well-being.
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