Embedded Audio ML Engineer Co-op

About the role

Spring 2027 full-time hybrid co-op deploying and optimizing deep learning audio models on embedded wearables at Bose.

Requirements

• Pursuing M.S. or Ph.D. in CS/EE/ML
• Strong C/C++ for embedded systems
• Deep neural networks in PyTorch or TensorFlow
• Cross-group collaboration

What you'll do

• Build embedded prototypes for ML audio features
• Deploy and optimize deep learning models on resource-constrained devices
• Research efficient deep learning methods
• Train and evaluate models
• Evaluate NN hardware accelerators

Where this was posted

• boseallaboutme.wd503.myworkdayjobs.com

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