Senior Deep Learning Scientist, Speech Synthesis
Join our team at NVIDIA as a Senior Deep Learning Scientist, specializing in Speech Synthesis. In this role, you will have the opportunity to work on cutting-edge technologies and contribute to the development of state-of-the-art speech synthesis models. As a key member of our team, you will play a crucial role in advancing the field of deep learning and making a significant impact on the future of speech synthesis. We are looking for a highly skilled and motivated individual with a strong passion for research and a deep understanding of machine learning principles. If you are ready to take on exciting challenges and push the boundaries of what is possible in the field of speech synthesis, then we want you on our team.
- Conduct cutting-edge research in the field of deep learning and speech synthesis.
- Develop and implement state-of-the-art speech synthesis models.
- Collaborate with cross-functional teams to identify and solve complex problems related to speech synthesis.
- Stay updated with the latest advancements in the field of deep learning and speech synthesis to continuously improve our models.
- Design and execute experiments to evaluate the performance of speech synthesis models.
- Analyze and interpret results to provide insights and recommendations for improving model accuracy and efficiency.
- Mentor and guide junior team members in developing their skills and knowledge in deep learning and speech synthesis.
- Contribute to the development and maintenance of large-scale datasets for training and testing speech synthesis models.
- Communicate research findings and technical developments to both technical and non-technical stakeholders.
- Work closely with product teams to integrate speech synthesis models into real-world applications.
- Continuously monitor and evaluate the performance of speech synthesis models in real-world scenarios and make necessary improvements.
- Represent the company at conferences, workshops, and other industry events to showcase our advancements in the field of speech synthesis.
Extensive Experience In Deep Learning Techniques And Frameworks: The Ideal Candidate Should Have A Strong Foundation In Deep Learning Techniques And Frameworks Such As Tensorflow, Pytorch, Or Keras. They Should Have A Deep Understanding Of Neural Networks And Their Applications In Speech Synthesis.
Strong Background In Speech Synthesis: The Candidate Should Have A Strong Background In Speech Synthesis Techniques, Including Text-To-Speech (Tts) And Voice Conversion. They Should Be Familiar With State-Of-The-Art Models And Approaches In Speech Synthesis And Be Able To Apply Them To Real-World Problems.
Proficiency In Programming Languages: A Senior Deep Learning Scientist Should Be Proficient In Programming Languages Such As Python And C++, As Well As Deep Learning Frameworks Such As Tensorflow And Pytorch. They Should Be Able To Write Efficient And Scalable Code For Large Datasets.
Research And Publication Record: The Ideal Candidate Should Have A Strong Research Background, With A Record Of Publications In Top-Tier Conferences And Journals. They Should Have A Deep Understanding Of Current Research Trends In Speech Synthesis And Be Able To Contribute To The Development Of New Techniques And Algorithms.
Team Leadership Skills: As A Senior Role, The Candidate Should Have Proven Experience In Leading And Managing A Team Of Deep Learning Scientists. They Should Have Excellent Communication And Collaboration Skills To Work Effectively With Cross-Functional Teams And Drive Projects To Completion.
Programming
Data Analysis
Machine Learning
Deep Learning
Artificial Intelligence
Natural language processing
Algorithm development
Computer
Speech synthesis
Neural Networks
Speech Recognition
Neural Architecture
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Deep Learning Scientist, Speech Synthesis in Santa Clara, CA, USA is $150,000 - $200,000 per year. However, this can vary depending on the specific company, experience level, and other factors such as bonuses and benefits.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.
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