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AI Research Intern - Speech and Audio Models

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Posted 1mo agoBe an early applicant

What this role pays, in context

This listing does not state its pay. Data Scientist roles in India currently advertise a median of ₹24K a month.

25th pct ₹20.6K75th pct ₹27.1K

Median of 12 other live Data Scientist listings in India on this board that state pay. Roles that do not disclose a salary are excluded rather than counted as zero.

An experiment, not a product

A few thousand profiles now carry a sixty-second voice intro and we genuinely do not know what to do with them. This two-month internship is an open question rather than a roadmap item: what, if anything, can we responsibly learn from a candidate's audio clip.

The eight weeks

You transcribe a consented sample with an open speech recognition model, measure word error rate across Indian English accents because the published numbers will not hold here, then test whether transcript-derived features add anything to our existing profile matching. There is a fair chance the answer is no. A clean negative result, written up properly with the evidence behind it, counts as a successful internship on this team.

Terms and fit

The position is unpaid and runs at roughly twenty hours a week, two of those days in our Indiranagar office where you sit with the research group and get time set aside for reading. It is aimed at final-year students and recent graduates who have taken a signals or speech course, can work through a paper without being intimidated by it, and want to try research conditions before committing to a masters.

Responsibilities

  • Transcribe a consented sample of candidate voice intros using an open speech recognition model
  • Measure word error rate across Indian English accents and report where the off-the-shelf model breaks down
  • Test whether transcript-derived features add anything to the existing profile matching signal
  • Read and summarise three recent papers on speech representation learning for the research group
  • Write up the result carefully, including a clean negative result if that is what the data supports
  • Flag any privacy or consent concern you notice in how the audio is stored or used

Requirements

  • Final-year student or recent graduate with coursework in signal processing, speech or machine learning
  • Python and comfort with audio tooling such as librosa or torchaudio
  • Able to read a research paper and extract the method from it
  • Careful and honest about results, including the inconvenient ones
  • Available for roughly twenty hours a week, two of them in the Indiranagar office

Skills

Benefits

  • Certificate + Letter of Recommendation
  • A seat with the research group and protected time for reading papers
  • Honest exposure to research conditions before you commit to a masters programme
  • Your write-up published on the internal research wiki with your name on it

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