AIML - Machine Learning Research (Speech Translation), DMLI in Cambridge

The AIML – Machine Translation team is looking for outstanding researchers/scientists to develop the next generation of speech to speech translation technology to allow our users to communicate across language barriers.

Description

You will take part in the next revolution of confluence between machine translation and human-computer interaction. Build significant impact in shipping machine translation technology to real-world users. Enable our users to seamlessly communicate without language barriers or access content in a foreign language through intuitive interfaces. Address practical problems related to mainstream adoption of Machine Translation including core technology, learning from user feedback, error recovery and user-interface design. We are looking for people who have a deep real passion for technology and collaborate with a team of researchers, engineers and designers towards making it available in the hands of millions of dedicated customers. Responsibilities Conduct independent applied research in the area of speech to speech translation Design large-scale, user-facing speech translation systems

Minimum Qualifications

M.S or PhD in Computer Science or Related Field.
Experience with machine learning technologies for speech recognition or synthesis (ideally in the context of speech translation).
Hands-on experience working with deep learning toolkits such as Tensorflow, PyTorch, etc.

Preferred Qualifications

Design and deployment of real-world, large-scale, user-facing speech recognition or synthesis systems.
Ability to formulate a research problem, design, experiment and implement solutions in C/C++/Java, Python/Perl, bash scripting, etc.
Excellent spoken and written communication skills