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　　NVIDIA is looking for Speech Data Scientists to develop high-impact, high-visibility Speech AI product "Riva" & improve the experience of millions of customers. If you're creative & passionate about solving real world conversational AI problems, come join our Riva Product engineering team. For more details on Riva check https://developer.nvidia.com/riva

　　What you’ll be doing:

　　Train Speech Synthesis Mel spectrogram and vocoder models.

　　Measure and benchmark model performance.

　　Maintain TTS model evaluation system

　　Analyze model accuracy and bias and recommend the next course of action & Improvements.

　　Improve processes for speech data processing, augmentation, filtering & TTS Training sets preparation.

　　Gather knowhow on TTS datasets for training & evaluation.

　　Characterize performance and quality metrics across platforms for various speech AI components.

　　Collaborate with various teams on new product features and improvements of existing products.

　　Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

　　Help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment.

　　What we need to see:

　　Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Math, Linguistics or Computational Linguistics

　　5+ years of experience

　　Excellent programming skills in Python.

　　Strong fundamentals in Programming, optimizations and Software design and strong knowledge of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers.

　　Knowhow of Deep learning applications to Speech synthesis, LLM, and Speech-to-speech translations.

　　Hands-on experience on Speech Technologies like Speech Synthesis, voice cloning, etc.

　　Experience with Training of speech models and experience with “PyTorch” Deep Learning Frameworks.

　　Exposure to basic speech digital signal processing and feature extraction techniques like FFT, MFCC, Mel Spectrogram, etc.

　　General background around version control and code review tools like Git, Gerrit, Gitlab.

　　Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

　　Ways to stand out from the crowd:

　　Native or near-native fluency in a non-English language - Spanish / Mandarin / German / Japanese / Russian / French / UK English / Arabic / Hindi / Korean / Italian / Portuguese

　　Experience developing multilingual code-switched TTS, voice cloning, and cross-lingual voice cloning

　　Background in developing WFST and Neural networks-based Text-Normalization and Inverse Text-Normalization

　　Experience working with G2P systems for multiple languages

　　Feeling comfortable and motivated when working in a fast paced, highly collaborative, dynamic work environment

　　NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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　　NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

　　Learn more about NVIDIA .