NVIDIA
AI, high-performance computing, visualization, conversational AI
SeniorDeepLearningScientist,SpeechSynthesis
“Senior Deep Learning Scientist, Speech Synthesis at NVIDIA. Skills: Speech Synthesis model training, ML/DL techniques, Python programming, PyTorch. Train Speech Synthesis mel-spectrogram and vocoder models. Measure, benchmark, and analyze model performance, accuracy, and recommend improvements”
What You'll Achieve.
improve the experience of millions of customers
Industry & Context.
solving real‑world conversational AI problems; recommend improvements
What They're Looking For.
Must Have
Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, AI, Applied Math, Linguistics, or Computational Linguistics, 5+ years of experience in machine learning and AI model development, Python programming skills, with solid fundamentals in software design and optimization, knowledge of ML/DL techniques and tools, including CNNs, RNNs/LSTMs, and Transformers, Hands-on experience training speech synthesis models, including TTS, voice cloning, or speech-to-speech systems, Proficiency with PyTorch, Experience with Git, Gerrit, or GitLab
Nice to Have
Experience with multilingual or code-switched TTS, voice cloning, or cross-lingual voice cloning, Familiarity with text normalization, inverse text normalization, and multilingual G2P systems, Interest in linguistics, phonetics, phonology, and language technologies, C++ programming skills and familiarity with CUDA, cuDNN, or TensorRT, Experience deploying ML models on data center, cloud, or embedded systems
What You'll Do.
Train Speech Synthesis mel-spectrogram and vocoder models
and analyze model performance
and recommend improvements
Maintain the TTS model evaluation system and characterize quality metrics across platforms
Improve processes for speech data processing
and TTS training set preparation
Build knowledge of TTS datasets for training and evaluation
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams on new features, improvements, and issue triage; Participate in code reviews, design reviews, use case reviews, and test plan reviews
Applying for this Senior Deep Learning Scientist, Speech Synthesis role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.