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Computer Vision Intern

2 months ago

bangalore, India Sony Research India Full time
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, large vision models, video generation, content moderation, 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 computer vision-based tasks such as video understanding, event prediction, action recognition, caption generation, transformer-based approaches in vision problems with strong coding skills with PyTorch and Python.
Work Location:
Remote work within India.
Duration of the paid internship:
The paid internship will be for 6 months starting first week of September 2024.
The working hours are from 9:00 AM to 18:00 PM IST (Monday to Friday).
Essential Education / Qualifications / Experience
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.
Essential Skills:
Strong knowledge and relevant programming experience with Python, PyTorch, and other ML and DL libraries, mainly for Computer Vision tasks.
Prior experience in applying advanced transformer-based models to video understanding, situation/action recognition and caption generation problems for videos.
Prior experience of using advanced object detection models.
Experience in successful implementation of state-of-the-art models for video analysis-based tasks.
Good to have Skills:
Demonstrated research capabilities through relevant publication record in top-tier conferences like ICML, ICLR, NeurIPS, CVPR, ECCV, etc.
Programming experience with Scikit-Image, Pandas, OpenCV.
Knowledge on efficient large vision models, foundation models or multi-modal approaches for different computer vision tasks using videos.
Strong mathematical understanding of ML concepts.
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.