PhD Research Intern (Multimodal AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
PhD Research Intern (Multimodal AI): Developing and training advanced multimodal AI architectures for spatial media content creation and generation with an accent on source separation and localization. Focus on prototyping algorithms, curating high-quality datasets, and contributing to scientific publications and patent applications.
Location: Must be based in San Francisco, California
Salary: $62/hr (approx. $9,920/month)
Company
is a leader in entertainment innovation, pushing the boundaries of audio, imaging, and cloud technology to create spectacular experiences.
What you will do
- Develop and apply multimodal AI architectures integrating audio, visual, and language modalities.
- Design and train advanced models for spatial media content creation and source separation.
- Curate high-quality datasets using data augmentation and synthetic generation techniques.
- Evaluate proposed models against state-of-the-art research benchmarks.
- Prototype and validate developed algorithms in realistic use cases.
- Present research findings and contribute to patent applications and scientific publications.
Requirements
- Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
- Strong background in deep learning applied to multimedia research.
- Deep familiarity with leading AI paradigms, including LLMs and generative models (diffusion, VAE, GAN).
- Proficiency in Python and at least one deep learning framework.
- Must be available to work full-time (Monday–Friday) for 12 weeks between September 2026 and December 2026.
- Strong mathematical foundation and excellent communication skills.
Culture & Benefits
- Opportunity to work within the Advanced Technology Group on cutting-edge research.
- Exposure to real-world applications of audio-visual AI technology.
- Collaborative environment focused on innovation and scientific contribution.
- Structured 12-week internship program with clear start dates.
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