Research Intern - Audio-Visual VoiceAI (Open Source)WhissleAI • Alameda, CA, United States
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Research Intern - Audio-Visual VoiceAI (Open Source)
WhissleAI • Alameda, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Undergrad, Master's, or PhD student in CS, AI, or related field Prior research experience (conference / workshop publications a plus) Strong background in one or more of : multimodal learning, audio-visual representation learning, speech modeling, or self-supervised methods Experience with PyTorch, Hugging Face, or similar frameworks Prototype and evaluate audio-visual alignment models Extend our open-source ASR and meta-speech pipelines Collaborate on papers, demos, and real-time VoiceAI applications Type : Paid internship / research collaboration
Research Intern - Audio-Visual VoiceAI (Open Source)
We're looking for a Research Intern to join WhissleAI and help advance our open-source work at the intersection of speech, vision, and structured understanding - inspired by projects like
- and recent multi-modal alignment research (example : .emnlp-main.845.pdf)
You'll work on developing audio-visual foundation models that connect voice, context, and environment - enabling systems that can listen, see, and act coherently in real time. Most of this work is open-source and contributes directly to the broader research community.
Ideal candidate
What you'll do
Location : Remote
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Research Intern • Alameda, CA, United States
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