Job Description

Widely considered to be one of the technology world\xe2\x80\x99s 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 \xe2\x80\x94 the next era of computing \xe2\x80\x94 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 \xe2\x80\x9cthe AI computing company.\xe2\x80\x9d 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\xe2\x80\x99ll be doing:

Train Speech Recognition Acoustic, Language, Punctuation models.

Measure and benchmark model performance.

Maintain ASR model evaluation system.

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

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

Gather knowhow on speech 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:

Bachelor\'s degree or Master\xe2\x80\x99s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math.

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

Excellent programming skills in Python as well as strong fundamentals in Programming, optimizations and Software design.

Strong knowledge of ML/DL techniques, algorithms and tools with exposure to CNN, RNN (LSTM), Transformers.

Strong knowledge of RNNT and CTC decoders.

Know how of Deep learning applications to Speech and NLP.

Hands-on experience on Speech Technologies like Automatic Speech Recognition, Speech Command detection, Text to Speech, Speaker Recognition and Identification, speaker diarization, Noise robustness Techniques, Voice activity detection, End of utterance detection etc.

Experience with Training acoustic models.

Experience with KenLM, OpenLM and other tools to create Language models.

Experience with \xe2\x80\x9cPyTorch\xe2\x80\x9d 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.

Ways to stand out from the crowd:

Strong C++ programming skills.

Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT

Background with Dockers and Kubernetes

Background with deploying machine learning models on data center, cloud, and embedded systems

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.

Nvidia