Sony Research Internship – Full-time (AI/ML Roles, 6-Month Program)
🚀 Sony Research India invites bright minds for 6-month paid internships in cutting-edge AI research! Work remotely on LLMs, Neural Machine Translation, Causal Inference, and Multimodal AI while collaborating with Sony’s global R&D teams.
Internship Opportunities
| Role | Focus Area | Location | Eligibility |
|---|---|---|---|
| Neural Machine Translation | LLMs • Deep Learning • NLP | Remote (Bangalore) | Masters/PhD or Bachelor’s with NLP projects |
| Causal Inference | Structural Causal Models • Python | Remote (Bangalore) | PhD preferred (Bachelor’s/Masters with experience accepted) |
| Multimodal AI | Speech/Text/Vision Integration | Remote (Mumbai/Bangalore) | MS/MSc/MTech/PhD in AI/ML |
| Data Science | Foundational Models • Recommender Systems | Remote (Bangalore) | Master’s/Bachelor’s with DL experience |
What You’ll Work On
🧠 AI Research & Development
- Develop state-of-the-art LLMs and foundation models
- Implement causal reasoning for AI interpretability
- Build multimodal systems combining speech/text/vision
💻 Technical Implementation
- Code in Python/PyTorch with ML/DL libraries
- Reproduce and improve research paper implementations
- Optimize model performance and scalability
🌐 Global Collaboration
- Work with Sony’s international research labs
- Present findings to cross-functional teams
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Eligibility Criteria
✅ For All Roles:
- Strong Python/PyTorch skills
- Academic background in CS/AI/ML/Data Science
- Ability to work full-time (9 AM-6 PM, Mon-Fri)
🌟 Preferred:
- Publications or projects in relevant AI domains
- Experience with GitHub repos and research papers
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Why Join Sony Research?
- 🔬 Cutting-Edge Work: Pioneer AI innovations used by millions worldwide
- 🌍 Remote Flexibility: Work from anywhere in India
- 📈 Career Growth: Potential pathways to full-time research roles
How to Apply
Ready to contribute to Sony’s AI revolution?
📌 Steps:
- Choose your focus area from the table above
- Prepare your resume, GitHub, and project details
- Highlight relevant coursework/research
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