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Senior Deep Learning Engineer
2 months ago
NVIDIA is a leader in the technology industry, renowned for its groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. Our company is at the forefront of technological advancement, and we're looking for talented individuals to join our team.
We're seeking a Speech Data Scientist to develop high-impact, high-visibility Speech AI product "Riva" and improve the experience of millions of customers. If you're passionate about solving real-world conversational AI problems, we want to hear from you.
Key Responsibilities:
- Train Speech Recognition, Speech-to-text translation, and Speech-to-speech translation models.
- Develop and maintain speech processing blocks and tools.
- Improve processes for speech data processing, augmentation, filtering, and training set preparation.
- Measure and benchmark model performance.
- Gather knowledge on speech datasets for training and evaluation.
- Collaborate with various teams on new product features and improvements of existing products.
- Help innovate, identify problems, recommend solutions, and perform triage in a collaborative team environment.
- Lead and mentor junior team members.
Requirements:
- Master's degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math with 5+ years of experience.
- Excellent programming skills in Python, strong fundamentals in programming, optimizations, and software design.
- 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.
- Strong knowledge of RNN-T, CTC, and transformer decoders.
- Strong knowledge of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers.
- Know-how of Deep learning applications to Speech and NLP.
- Experience with leading efforts and/or teams developing Speech AI products.
- 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.
Preferred Qualifications:
- Experience developing end-to-end and unified speech recognition and translation systems for multiple languages.
- 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 encouraging a diverse work environment and proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate 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.
