AI/ML Intern — On-Device Audio Intelligence - Frisco, TX
6 days ago

Job Summary
We're building a real-time music transcription system for Indian classical music — a tradition with microtonal intervals, complex ornamentation, and hundreds of melodic frameworks that no existing algorithm handles well. The core problem: accurate pitch detection and sound source identification, running entirely on-device with strict latency and power constraints.Qualifications
- Experience converting ML models across frameworks (PyTorch to CoreML/TFLite/ONNX) with accuracy validation
- Background in audio or speech ML: pitch estimation, audio classification, source separation, or music information retrieval
Job description
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