Senior Deep Learning Scientist, Speech AI



Software Engineering, Data Science
Multiple locations
Posted on Friday, January 19, 2024

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

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.