NVIDIA
Senior Applied Scientist
NVIDIA, Mead, Colorado, United States, 80542
NVIDIA's technology is at the heart of the AI revolution
We work on new models for speech recognition, speech synthesis, and natural language processing. Our team crafted Jasper, QuartzNet, Talknet, and other state-of-the-art neural models for ASR and text-to-speech, and we've also developed new algorithms to accelerate training large models on our GPU cloud.Be a part of the team that's released new models as part of NeMo - an open-source toolkit for Conversational AI, whose models are used by world-class companies for applications such as customer service and smart voice assistants. This exciting opportunity will have you collaborating with internal research and product teams, as well as researchers from top machine learning labs. We are looking for someone who's curious, tenacious, and passionate to join our applied research team to influence and build the next generation of Conversational AI systems!What You'll Be Doing
Develop new deep learning models and training algorithms for speech recognition, speech synthesis, information retrieval, machine translation, etc.Transfer your technology to NVIDIA’s software product teams.Publish your research at conferences (NeurIPS, Interspeech, ICASSP).Partner with Deep Learning & AI researchers in leading universities and industrial research labs.What We Need To See
Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math.4+ years of industry experience.Advanced understanding of Deep Learning with applications in Speech Processing and NLP, and a record of publications or significant product contributions in these areas.Strong Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow.Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods.Ways To Stand Out From The Crowd
Strong C++ programming skills.Systems software engineering knowledge and expertise in optimizing software for computational performance.Contribution to open source software projects.With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.The base salary range is 156,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.NVIDIA accepts applications on an ongoing basis.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.
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We work on new models for speech recognition, speech synthesis, and natural language processing. Our team crafted Jasper, QuartzNet, Talknet, and other state-of-the-art neural models for ASR and text-to-speech, and we've also developed new algorithms to accelerate training large models on our GPU cloud.Be a part of the team that's released new models as part of NeMo - an open-source toolkit for Conversational AI, whose models are used by world-class companies for applications such as customer service and smart voice assistants. This exciting opportunity will have you collaborating with internal research and product teams, as well as researchers from top machine learning labs. We are looking for someone who's curious, tenacious, and passionate to join our applied research team to influence and build the next generation of Conversational AI systems!What You'll Be Doing
Develop new deep learning models and training algorithms for speech recognition, speech synthesis, information retrieval, machine translation, etc.Transfer your technology to NVIDIA’s software product teams.Publish your research at conferences (NeurIPS, Interspeech, ICASSP).Partner with Deep Learning & AI researchers in leading universities and industrial research labs.What We Need To See
Master’s degree (or equivalent experience) or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or Applied Math.4+ years of industry experience.Advanced understanding of Deep Learning with applications in Speech Processing and NLP, and a record of publications or significant product contributions in these areas.Strong Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow.Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods.Ways To Stand Out From The Crowd
Strong C++ programming skills.Systems software engineering knowledge and expertise in optimizing software for computational performance.Contribution to open source software projects.With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.The base salary range is 156,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.NVIDIA accepts applications on an ongoing basis.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.
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