Full-Time

Senior Deep Learning Scientist

Speech Synthesis

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$184k - $356.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Remote in USA

Remote work is allowed, but candidates may be based in Santa Clara, California.

Category
Conversational AI & Chatbots
Speech Recognition
AI & Machine Learning
Required Skills
Python
Git
Pytorch
Machine Learning

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 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
  • 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
  • Experience with “PyTorch” Deep Learning Frameworks
  • Exposure to basic speech digital signal processing and feature extraction techniques like FFT, MFCC, Mel Spectrogram, Neural codecs, etc.
  • General background around version control and code review tools like Git, Gerrit, Gitlab
Responsibilities
  • 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
Desired Qualifications
  • 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
  • Feeling comfortable and motivated when working in a fast paced, highly collaborative, dynamic work environment
  • Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT
  • Background with deploying machine learning models on data center, cloud, and embedded systems

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match

INACTIVE