Posted 19h ago

Machine Learning Audio Intern

@ Syntiant
Redwood City, California, United States
OnsiteTemporary
Responsibilities:fine-tuning model, running locally, exploring alternatives
Requirements Summary:Pursuing a Bachelor's or Master’s in CS or related field with hands-on AI/ML model training; industry experience not required.
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Job Description

Summary Description:

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Audio Intern to take on a critical role to enhance our AI Model for Turkey Gobble Synthesis.

Syntiant Corp. is seeking a turkey gobble detector AED model that runs on NDP chips. It is difficult to collect good quality gobble data due to several logistical issues. As of now, only ~2K samples are available for training such a model. These samples are not enough to train a production quality turkey gobble model.

EcoGen is a neural network model that could generate synthetic but real-sounding bird sounds. It needs only a handful of recordings to synthesize similar sounds. The idea is to leverage this model to get more data for training a better turkey gobble detector AEDmodel. There are newer models such as BirdDiff, Audio LDM (Text-to-Turkey), Perch 2.0 etc.