DeepL24 дня назад

Senior Staff Research Scientist | Voice

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РЫНОК

16 500 ₽медиана по профессии

Data Scientist · 188 вакансий с указанной зарплатой

5 000половина предложений: 13 333–22 104123 000

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Полная занятостьLondon

Обязанности

01Lead hands-on research and development across ASR, MT, TTS, and speech-to-speech translation for real-time voice products.
02Design, train, and optimize large-scale ASR models for multilingual accuracy, robustness, and ultra-low-latency streaming.
03Improve cascaded translation pipelines end to end: segmentation, ASR→MT interfaces, streaming MT inference, and incremental decoding.
04Develop and refine real-time TTS models with natural prosody, stable speaker characteristics, and fast inference.
05Build and experiment with end-to-end and LLM-based speech-to-speech translation systems, including streaming and one-shot approaches.
06Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization, and production deployment.
07Work closely with engineering teams to integrate models into real-time systems, ensuring reliability, uptime, and quality at scale.
08Drive improvements in inference efficiency, model serving, voice UX, and robustness to real-world acoustic conditions.
09Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production.
10Mentor researchers and engineers, promote hands-on collaboration, and raise the bar for model quality and operational excellence.

01Deep expertise in speech, audio, or multilingual ML, particularly in ASR, MT, TTS, end-to-end ST, or large speech models.
02A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production.
03Strong understanding of real-time streaming constraints and how to design models that operate reliably at low latency.
04Experience shipping ML models to production, maintaining them at scale, and working with engineers on deployment, monitoring, and serving.
05Ability to lead complex research efforts while staying grounded in product impact, user experience, and real-world performance.
06Strong coding and experimentation skills (Python, PyTorch/JAX, audio processing libraries).
07Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities.
08Proven experience mentoring others and elevating technical quality across a fast-moving, applied research team.

01We are an equal opportunity employer.
02We appreciate authenticity.
03Our product is for everyone, and so is our workplace.
04The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward!