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This internship is for Summer 2020.
San Mateo, CA
You will develop and conduct groundbreaking research in speech and audio processing and related tasks, such as audio classification, text-to-speech, and automatic speech recognition. You are ambitious and can find innovative ways to apply machine learning and deep learning algorithms. You will also conduct different machine learning experiments to optimize performance output as well as build new prototypes to showcase core technologies.
- Pursuing a Master's degree in Computer Science (or related field) and/or within 1 year of their post-graduation date
- Deep understanding of Audio processing or voice synthesis
- Familiarity and understanding of state-of-the-art machine learning/deep learning algorithms
- Experience developing and applying machine learning/deep learning algorithms for audio or speech related tasks
- Proficiency in deep learning platforms, such as PyTorch/Tensorflow
- Proficiency in Python
- Excellent written and oral communication skills.
About Deemed Export
Deemed export: The U.S. Government controls foreign access to sensitive equipment, software, and technology as a means to promote national security and foreign policy objectives. The position you are applying for may require you to have access and/or use technology and/or software which may be subject to the U.S. Department of Commerce, Export Administration Regulations ("EAR"). In some circumstances, SIE may need to obtain authorization from the appropriate governmental agency of the United States to allow individuals who are not a U.S. Citizen, Permanent Resident, or protected individual under 8 U.S.C. 1324b(a)(3) to access controlled technology. If such authorization is not available under a license exception and/or authorization is denied by the U.S. Department of Commerce, an adverse action to the internship may be required.
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, gender identity, marital status, genetic information or membership in any other legally protected category.
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