Tuesday, June 24, 2025

Sony Hiring Speech Recognition Interns 2025 | Remote | Apply Now! | Placement Officer

 

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Intern working on speech recognition model using Whisper and Wav2Vec2 remotely for Sony

Sony Hiring Speech Recognition Interns 2025 | Remote | Apply Now! | Placement Officer πŸ§ πŸ”Š

🏒 About the Company

Sony Research India, a division of the global tech giant Sony, is dedicated to cutting-edge innovation in AI, audio, imaging, and speech. The team blends academic research excellence with real-world product development to push the boundaries of what’s possible.


πŸ” Internship Opportunity – Speech Recognition Intern (Remote)

Are you passionate about automatic speech recognition (ASR) and deep learning? Want to work with Whisper, Wav2Vec2, and state-of-the-art ASR models in real-world scenarios?

This internship is a rare opportunity to join a high-impact, globally recognized research team and contribute to pioneering projects in speech recognition and natural language processing.


πŸ§‘‍πŸ’» Key Responsibilities

✅ Research and develop techniques to enhance ASR performance under noisy and domain-shifted conditions
✅ Study hallucination effects in ASR models and explore mitigation strategies
✅ Run large-scale experiments on diverse speech datasets with noise and language variations
✅ Evaluate and benchmark ASR models such as Wav2Vec2, Whisper, and RNN-T
✅ Contribute to open-source tools, technical reports, or research publications


πŸ—“️ Internship Details

·         πŸ“ Location: Remote

·         πŸ“† Duration: 6 months (Starting June 2025)

·         πŸ•˜ Timings: Monday – Friday | 9:00 AM – 6:00 PM

·         πŸ’° Paid Internship


πŸŽ“ Qualification Criteria

·         Currently pursuing/completed M.Tech (Research) or Ph.D. in Deep Learning/Machine Learning

·         Hands-on experience with Transformer-based models in audio/speech domains


Must-Have Skills

·         Strong Python programming

·         Experience with PyTorch or TensorFlow

·         Familiarity with Torchaudio, ESPnet, or Hugging Face Transformers

·         Prior work on Whisper, Wav2Vec2, or RNN-T

·         Ability to read and implement academic papers

·         Solid foundation in ML & Signal Processing


🌟 Good-to-Have Skills

·         Understanding of prompt tuning, contrastive learning, or multi-modal AI

·         Experience with evaluating hallucinations or creating synthetic audio perturbations


Frequently Asked Questions (FAQs)

Q1: Is this a paid internship?
Yes, this is a paid 6-month internship starting in June 2025.

Q2: Who can apply?
Candidates currently pursuing or recently completed their M.Tech (Research) or Ph.D. in ML/DL with audio experience are eligible.

Q3: Do I need prior ASR experience?
Yes, exposure to ASR models like Whisper or Wav2Vec2 is preferred.

Q4: Is the internship completely remote?
Yes, the position is fully remote.

Q5: What kind of projects will I work on?
You will work on enhancing robustness in ASR systems, minimizing hallucinations, and exploring new ASR techniques for real-world applications.


🏁 Conclusion

Ready to launch your research career with Sony and shape the future of speech recognition technology? 🌍🎀

With cutting-edge tools like Whisper, Wav2Vec2, and Torchaudio, this is your chance to work alongside world-class researchers at one of the world’s most iconic tech brands – completely remote, fully paid, and truly impactful. πŸ’ΌπŸ§‘‍πŸ”¬

πŸ‘‰ Apply now and start your journey with Sony Research India this June! πŸš€

πŸ”— Apply Link: Click Here To Apply for Sony

 

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Disclaimer
The recruitment details shared above are for informational purposes only and have been obtained from the organization’s official website. We do not guarantee any job placements. Recruitment will be conducted according to the company's official process. We do not charge any fees for sharing this job information.

#SonyInternship2025 #SpeechRecognition #ASR #RemoteInternship #Wav2Vec2 #WhisperAI #DeepLearningIntern #TransformerModels #MLInternship #AudioProcessing #ResearchInternship #SonyResearchIndia

 

 

 

 

 

 

 

 

 

 





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