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SingleStore logo — SingleStore Speech & Audio ML Intern in Bengaluru, Karnataka
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Speech & Audio ML Intern

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Location

Bengaluru, Karnataka

Work Mode

Hybrid

Duration

3 months

Stipend

₹31,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹31,000/moApply on Company Website ↗

About the Internship

SingleStore is hiring a Speech & Audio ML Intern in Bengaluru — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to speech and audio machine learning rather than a certificate-only programme. About the role As a Speech & Audio ML Intern at SingleStore…

About SingleStore

SingleStore offers a mentor-led Speech & Audio ML Intern in Bengaluru with live project work in machine learning, a stipend of ₹31,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bengaluru, KarnatakaVerified employer9 openings
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Skills Required

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

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/ECE/EEE), M.Tech, MCA or M.Sc (CS / Electronics) who are based in or willing to work from Bengaluru. You should be keen to learn Speech Recognition (ASR), Audio Signal Processing, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
31,000/month

Stipend · 3 months

Apply Now →
Openings9 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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