Realtime Speech-to-Speech Translation Scientist

Lex; Cambridge; On-site; GBP 70,000 - 120,000; Full time

Job summary

Apple's Machine Translation and Multilingual Intelligence team is seeking engineers and scientists to build end-to-end speech-to-speech translation systems with low latency and natural output. You will work across modelling, translation and speech generation to enable real-time multilingual communication.

Join a collaborative environment that blends research, engineering and design, shipping solutions to millions of users while advancing streaming, evaluation and on-device inference for

Qualifications

• M.S. or PhD in Computer Science or a related field.
• Experience with ML for speech recognition, translation, NLP or speech synthesis.
• Hands-on experience with 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

PyTorch

JAX

TensorFlow

Python

C/C++

Education

M.S. or PhD in Computer Science or related field

Tools

PyTorch

JAX

TensorFlow

Job description

Apple's Machine Translation and Multilingual Intelligence team is seeking engineers and scientists to build end-to-end speech-to-speech translation systems with low latency and natural output. You will work across modelling, translation and speech generation to enable real-time multilingual communication.

Join a collaborative environment that blends research, engineering and design, shipping solutions to millions of users while advancing streaming, evaluation and on-device inference for