AIML Researcher, Real-Time Speech-to-Speech Translation

Apple, Inc.; Cambridge; On-site; GBP 120,000 - 180,000; Full time

Job summary

Apple Inc. in Cambridge, UK, is seeking outstanding engineers and scientists to build the next generation of speech-to-speech translation technology. You will conduct independent research and develop end-to-end systems that listen, translate, and speak in real time to millions of users.

Collaboration with researchers, engineers, and designers is essential. You will design and train large-scale multimodal models combining speech understanding, translation, and speech generation, with a focus on

Qualifications

• MS or PhD in Computer Science or 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.

Responsibilities

• 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.

Skills

Speech recognition

Machine translation

NLP

Speech synthesis

Python

C/C++

Education

MS or PhD in CS

Tools

PyTorch

JAX

TensorFlow

Job description

Apple Inc. in Cambridge, UK, is seeking outstanding engineers and scientists to build the next generation of speech-to-speech translation technology. You will conduct independent research and develop end-to-end systems that listen, translate, and speak in real time to millions of users.

Collaboration with researchers, engineers, and designers is essential. You will design and train large-scale multimodal models combining speech understanding, translation, and speech generation, with a focus on