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Sony Research Internship – Full-time (AI/ML Roles, 6-Month Program)

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.

Sony Research Internship

Internship Opportunities

RoleFocus AreaLocationEligibility
Neural Machine TranslationLLMs • Deep Learning • NLPRemote (Bangalore)Masters/PhD or Bachelor’s with NLP projects
Causal InferenceStructural Causal Models • PythonRemote (Bangalore)PhD preferred (Bachelor’s/Masters with experience accepted)
Multimodal AISpeech/Text/Vision IntegrationRemote (Mumbai/Bangalore)MS/MSc/MTech/PhD in AI/ML
Data ScienceFoundational Models • Recommender SystemsRemote (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

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:

  1. Choose your focus area from the table above
  2. Prepare your resume, GitHub, and project details
  3. Highlight relevant coursework/research

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