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Research Intern – Multimodal Foundation Model Vision

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Sony
Apprenticeship/Internship position
Listed on 2026-03-11
Job specializations:
  • Science
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 50 USD Hourly USD 50.00 HOUR
Job Description & How to Apply Below
Position: Research Intern – Multimodal Foundation Model for Vision

Employer Industry: Technology and Entertainment

Why consider this job opportunity:
  • Target hourly rate of $50.00 per hour, with eligibility for overtime
  • Opportunity to contribute to influential research published in top-tier conferences and journals
  • Work with a productive team of world‑class scientists and engineers
  • Flexible working location options (Tokyo, Europe, US)
  • Chance to develop innovative methodologies and solutions that impact billions of customers
  • Engage in cutting‑edge projects in foundation models and generative AI
What to Expect (Job Responsibilities):
  • Conduct innovative development in low-cost yet powerful vision‑language models, unified models, and model compression
  • Design and implement state‑of‑the‑art techniques for model compression and deployment on hardware
  • Create proof of concepts for various vision and text generation tasks
  • Contribute to library and tool development to support business initiatives
  • Publish influential research in top-tier conferences and journals
What is Required (Qualifications):
  • Currently pursuing or has obtained a master's or PhD degree in computer science or a related field
  • Self‑motivated with the ability to propose and implement innovative ideas
  • Solid presentation and communication skills for internal and external audiences
  • Publications or expertise in compact foundation model development and deployment
  • Strong coding skills in Python and Pytorch
How to Stand Out (Preferred Qualifications):
  • Front‑end development experience
  • Involvement in influential open‑source projects or paper publications at top conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, ACL)

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position.

Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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