Research Intern - Self-evolving Multimodal Foundation Models
SonyAdded 3h ago
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What you'll do
- Develop efficient methodologies for vision and vision-language foundation models.
- Optimize models for cloud and edge deployment.
- Collaborate with scientists to translate research into practical solutions.
- Contribute to library development or publish research in top-tier journals.
What they're looking for
- Current Master’s or PhD student in computer science or related fields.
- Proficiency in Python and PyTorch.
- Experience with compact foundation models or relevant top-tier conference publications.
- Strong communication skills and self-motivation.
Pay and perks
- Hourly rate of $50.00.
- Eligible for overtime pay.
Sony Corporate Technology Center America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony’s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony’s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/
Research Intern – Self-evolving Multimodal Foundation Models
Sony is seeking research interns to join us. Our team mainly focuses on fundamental and applied research, with a focus on building next-generation foundation models for vision in a responsible manner. The role of a research intern is to develop efficient and effective methodologies and prototype solutions. You will work with a productive team of world-class scientists and engineers to tackle the most challenging problems in foundation models, including self-evolving vision foundation models (VFM), vision-language models (VLM), unified models, content management, automatic model optimization and deployement on cloud and edge. You will see your ideas not only published in papers, but also improve the experience of billions of customers.
Roles and Responsibilities
- Conduct fundamental and innovative development in low-cost yet powerful foundation models, automatic model optimization and deployement on cloud and edge.
- Collaborate with research, engineering, and product teams to translate research into practical solutions, leveraging foundation models, RSI and agentic approaches where appropriate.
- Contribute to library and tool development to support business; or Publish influential research in top-tier conferences and journals.
Required Qualifications and Skills
- Currently has, or is in the process of obtaining, a master/PhD degree in computer science or related field.
- Be very self-motivated and capable of proposing and implementing innovative ideas.
- Solid presentation and communication skills to internal and external audiences.
- Publications or expertise in compact foundation model development and deployment. Influential open-source projects or paper publication at top conferences, e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ACL, etc.
- Better to have front-end development experience.
- Solid coding skills in Python, Pytorch, etc.
The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime.
All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
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