Computer Vision Intern
Company: SonyCTC: Best in ClassLocation: Remote/Bengaluru/Mumbai
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 centre to blaze a trail in the latest technologies, we seek to foster the growth of a diverse pool of research and 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.
Job Purpose:
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.
For this internship program, we are seeking a talented and motivated candidate who is pursuing or has completed MS/MSc/MTech/PhD level degree, to join us as soon as possible, for a duration of at least 6 months. For this internship program, we’re only going to consider candidates who have demonstrable skills and knowledge in Continual learning based object detection, tracking and recognition or other relevant content analysis vision problems in real world scenarios with strong software development skills with PyTorch and Python.
Work Location:
Remote/Bengaluru/Mumbai
Duration of the internship:
The internship will be for 6 months starting July first week of 2024.
The working hours are from 9:00 to 18:00 (Monday to Friday) full-time.
Essential Education:
Candidates pursuing or 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.
Skills required:
Essential 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 state-of-the-art deep neural networks-based models to continual / incremental / few shot learning for real world object detection / tracking / recognition and other content analysis vision problems.
Knowledge on efficient large vision models or multi-modal approaches for various computer vision tasks such as content analysis, content generation, content moderation.
Knowledge on generative AI models using advanced Transformer, GANs and Diffusion models.
Good to have Skills:
Demonstrate research capabilities through relevant publication record in top-tier conferences like CVPR, ECCV, ICCV, WACV, BMVC, NeurIPS, AAAI, etc.
Programming experience with PyTorch, Scikit-Image, Pandas, OpenCV with Python.
Experience in developing API’s (using Streamlit or FastAPI).
Experience in AWS, Docker.
Our Values:
Dreams & Curiosity: Pioneer the future with dreams and curiosity.
Diversity: Pursue the creation of the very best by harnessing diversity and varying viewpoints.
Integrity & Sincerity: Earn the trust for Sony brand through ethical and responsible conduct.
Sustainability: Fulfil our stakeholder responsibilities through disciplined business practices.
Sony Research India is committed to equal opportunity in all its employment practices, policies and procedures and to ensuring that no worker or potential worker will receive less favourable treatment due to any characteristic protected under applicable local laws.
0 Comments
Post a Comment