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