NVIDIA

Master's degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Math, Linguistics or Computational Linguistics. Knowhow of Deep learning applications to Speech synthesis, LLM, and Speech-to-speech translations and hands-on experience on Speech Technologies like Speech Synthesis, voice cloning, etc.. Exposure to basic speech digital signal processing and feature extraction techniques like FFT, MFCC, Mel Spectrogram, etc.. Native or near-native fluency in a non-English language - Spanish / Mandarin / German / Japanese / Russian / French / UK English / Arabic / Hindi / Korean / Italian / Portuguese. programming skills and familiarity with GPU based technologies like CUDA, CuDNN and TensorR and background with deploying machine learning models on data center, cloud, and embedded systems

deep learning

Widely considered to be one of the technology world's most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, autonomous cars and conversational AI that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement!
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:
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Train Speech Synthesis Mel spectrogram and vocoder models and measure and benchmark model performance.
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Maintain TTS model evaluation system and gather knowhow on TTS datasets for training & evaluation.
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Analyze model accuracy and bias and recommend the next course of action & Improvements.
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Improve processes for speech data processing, augmentation, filtering & TTS Training sets preparation.
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Characterize performance and quality metrics across platforms for various speech AI components.
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Collaborate with various teams on new product features and improvements of existing products.
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Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.
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Help innovate, identify problems, recommend solutions and perform triage in a collaborative team environment.
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<h3>What we need to see</h3>
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Master's degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Math, Linguistics or Computational Linguistics
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5+ years of experience
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Excellent programming skills in Python and strong fundamentals in Programming, optimizations and Software design.
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Solid understanding of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers.
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Knowhow of Deep learning applications to Speech synthesis, LLM, and Speech-to-speech translations and hands-on experience on Speech Technologies like Speech Synthesis, voice cloning, etc.
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Experience with Training of speech models and "PyTorch" Deep Learning Frameworks.
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Exposure to basic speech digital signal processing and feature extraction techniques like FFT, MFCC, Mel Spectrogram, etc.
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General background around version control and code review tools like Git, Gerrit, Gitlab.
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Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.
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<h3>Ways to stand out from the crowd</h3>
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Native or near-native fluency in a non-English language - Spanish / Mandarin / German / Japanese / Russian / French / UK English / Arabic / Hindi / Korean / Italian / Portuguese
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Experience developing multilingual code-switched TTS, voice cloning, and cross-lingual voice cloning and feeling comfortable and motivated when working in a fast paced, highly collaborative, dynamic work environment
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Experience developing WFST and Neural networks-based Text-Normalization and Inverse Text-Normalization and working with G2P systems for multiple languages
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Strong personal interest in learning, researching, and creating new technologies related to foreign languages, linguistics, phonetics, phonology and language technology
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Strong C++ programming skills and familiarity with GPU based technologies like CUDA, CuDNN and TensorR and background with deploying machine learning models on data center, cloud, and embedded systems
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With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
The base salary range is 144,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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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