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Morgan Stanley

Speech & Audio ML Intern

InternshipHybridDelhi, Delhi6 months33K/mo3 openingsImmediate / Rolling
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About this internship

Join Morgan Stanley in Delhi as a Speech & Audio ML Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on speech and audio machine learning work. About the role As a Speech & Audio ML Intern at Morgan…

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Skills you'll use

Speech Recognition (ASR)Audio Signal ProcessingPythonPyTorchSpectrograms & MFCCsWav2Vec / WhisperNoise RobustnessData AugmentationEvaluation (WER)Multilingual Audio

What you'll do

  • Work on training models that transcribe or classify audio recorded in noisy real conditions alongside the core team
  • Apply Speech Recognition (ASR), Audio Signal Processing, Python, PyTorch to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech (CSE/ECE/EEE), M.Tech, MCA or M.Sc (CS / Electronics)
  • Graduating batch 2026 or 2027 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Speech Recognition (ASR), Audio Signal Processing, Python (or a genuine willingness to learn them)
  • Exposure to PyTorch, Spectrograms & MFCCs, Wav2Vec / Whisper is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Delhi, Delhi or willing to work from there for the internship period

Perks & benefits

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3HR discussion — stipend, start date, expectations and offer

About Morgan Stanley

Morgan Stanley operates in the investment banking sector and has an active presence in Delhi. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…
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