AIML - Machine Learning Research (Speech), DMLI

Apple Inc

Aachen, Germany

Job posting number: #7293298 (Ref:apl-200576545)

Posted: November 7, 2024

Job Description

Summary
The AIML - Machine Translation team is looking for outstanding researchers/scientists to develop the next generation of 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 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 (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 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




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More Info

Job posting number:#7293298 (Ref:apl-200576545)
Application Deadline:Open Until Filled
Employer Location:Apple Inc
Jacksonville,Florida
United States
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