Real-Time Speech-to-Speech Translation Research Scientist

Apple Inc.; Cambridge; Sur place; GBP 90 000 - 140 000; Plein temps

Résumé du poste

Apple Inc. in Cambridge is seeking outstanding engineers and scientists to build the next generation of speech-to-speech translation technology. You will work across modelling, translation and speech generation to deliver real-time, natural conversations on Apple devices.

The role focuses on end-to-end systems that listen, translate and speak with low latency, collaborating with researchers, engineers and designers to bring this technology to millions of users.

Qualifications

• MS or PhD in Computer Science or a related field.
• Experience with machine learning for speech recognition, machine translation, NLP or speech synthesis.
• Hands-on experience with deep learning toolkits such as PyTorch, JAX or TensorFlow.

Responsabilités

• Conduct independent applied research and development in speech-to-speech translation, from modelling through to evaluation and shipping.
• Design, train and improve large-scale multimodal models that combine speech understanding, translation and speech generation.
• Advance streaming and simultaneous translation, balancing translation quality against latency.
• Improve the quality, naturalness and expressiveness of translated speech.
• Define and run automatic and human evaluations for speech translation quality, latency and speech quality.

Connaissances

Speech translation research

Computer science theory

Formation

MS or PhD in Computer Science

Outils

PyTorch

JAX

TensorFlow

Description du poste

Apple Inc. in Cambridge is seeking outstanding engineers and scientists to build the next generation of speech-to-speech translation technology. You will work across modelling, translation and speech generation to deliver real-time, natural conversations on Apple devices.

The role focuses on end-to-end systems that listen, translate and speak with low latency, collaborating with researchers, engineers and designers to bring this technology to millions of users.