Online applications are invited for the Machine Learning Intern FY24 at SONY India. The application link will be active for a limited time only.
About Sony Research India
Sony Research India is driving cutting-edge research and development in various locations around the globe, including laboratories in Japan, the United States, Europe, and Asia. We endeavor to create new technology, products, and services while sustaining Sony Group’s diverse businesses in electronics, entertainment, and financial fields.
For our research center to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of engineering talent and create a technology talent bank to drive research excellence worldwide. Sony Research India is offering outstanding career opportunities around frontline technologies such as AI and data analytics.
Since its establishment in 1994, Sony India, a wholly owned subsidiary of Sony Corporation in Japan, has positioned itself as a premium brand across product categories such as television, digital imaging, personal audio, home entertainment, gaming, car audio and professional solutions.
Responsibilities
- Together with the research scientists or other team members, work on the basic development activities on a daily basis, participate in speech generation related research topics of the project, like development of Dubbing Pipeline, Text-to-Speech and Voice Cloning Systems.
Required Skills: Machine Learning Intern
Must-Have:
- Expertise in Pytorch.
- Deep Learning/Machine Learning frameworks: Pytorch, TensorFlow, scikit-learn.
- Knowledge of the state-of-the-arts in controllable Text-to-Speech Models.
- Knowledge of generative models: Diffusion Models, VQ-VAE/GANs, Flow-based Generative models.
Good to have:
- Prior experience in development of diffusion model-based applications.
Education
- Ph.D. or Master degree with hands-on experience in expertise on advanced diffusion-based generative models.
Duration
- 6 months starting November 2024 last week
- 9:00 to 18:00 (Monday to Friday) fulltime
How to Apply?
Interested candidates can directly apply through this link.
Location
Remote/Hybrid working from Bangalore, India.
