Magic Leap is looking for a passionate, talented, and inventive research engineer with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Natural Language Processing (ASR), Natural Language Understanding (NLU), Speech Synthesis and Audio Signal Processing, in order to provide the best-possible experience for our platform.
As a Speech and Language engineer, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in language processing. Your work will include development and integration of latest techniques and will directly impact our customers in the form of products and services that make use of speech and language technology. At Magic Leap you will have a chance to lay the foundation for a new computing platform and forever change the way how people interact with technology.
So if you are passionate about data-driven machine learning and hate feature engineering, then you must apply!
* Able to work with cross-functional teams while managing and fostering junior engineers. * Develop optimization methods, deep architectures, and learning tools to ease the use of feed forward and recurrent models.
* 3 - 5 years industry experience * Strong Deep Learning expertise * Experience in building speech synthesis systems in at least one area (ex: Parametric Speech Synthesis, DNN, LSTM, etc., Unit concatenation speech synthesis, Voice Adaptation, Prosody Modeling etc.). * Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field * Solid software development experience. Proficient in programming languages such as C/C++ and Python * Good written and spoken communication skills.
* Ph.D. in Computer Science, Applied Math or similar related fields (preferred) * M.S. in Computer Science, Applied Math or similar related fields
* All your information will be kept confidential according to Equal Employment Opportunities guidelines.
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