Sony is Hiring: Computer Vision Intern

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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

Sony : Computer Vision Intern

Key Responsibilities::

  • Internships at Sony Research India (SRI) are aimed at offering students with an opportunity to industry exposure and a production level project experience.
  • The primary responsibility in this role will be to positively contribute to the growth and development of innovative technologies at SRI.
  • During the internship, you will work closely with research scientists and other members in the team on various development and optimization tasks in object detection, tracking and recognition, video generation, content moderation, large vision models, etc.
  • In addition, you’ll be expected to actively work on AI development activities daily, be it training, testing, fixing bugs or other routines for building a robust model.

Qualification:

  • Candidates pursuing or has completed MS/MSc/MTech/PhD level degree in Computer Science, Electronics Engineering, Data Science, Information Science, Artificial Intelligence, Computer Applications or other closely related technical discipline, will be considered for the internship program.
  • 2024/2025 Passouts only.

Must Have Skills:

  • Strong knowledge and relevant programming experience with Python, PyTorch, and other ML and DL libraries, mainly for Computer Vision tasks.
  • Prior experience on applying advanced generative models to video generation, content regeneration, video analysis-based problems.
  • Knowledge on efficient large vision models for various computer vision tasks.
  • Knowledge on generative AI models using advanced Transformer, GANs and Diffusion models.

Duration of the internship:

  • The internship will be for 6 months starting April third week of 2025.
  • The working hours are from 9:00 to 18:00 (Monday to Friday) fulltime

Location: Remote work within India.

Click Here – Apply before the link expires

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