Embedded Audio ML Engineer Co-op Make Waves

Bose Corporation, U.S.A; Massachusetts; Hybrid; USD 55,000 - 71,000; Full time

Benefits offered by this job

Bonus programs

Health and welfare benefits

401(k) plan

Employee discount

Job summary

Bose Corporation in Framingham, Massachusetts, invites students to join a six-month Co-op as an Embedded Audio ML Engineer. The role is full-time (40 hours/week) in hybrid, in-office format from January through July 2027, with no relocation assistance.

You will deploy and optimize deep learning algorithms for resource-constrained devices across Bose wearables and consumer audio devices, building ML prototypes and advancing on-device inference.

Qualifications

• Currently pursuing a M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• Strong proficiency in C/C++ for embedded systems.
• Proficiency in Python for model conversion, evaluation, or tooling workflows.
• Strong experience implementing deep neural networks with PyTorch, TensorFlow, or similar frameworks.
• Proven cross-group and cross-culture collaboration skills.
• Creative problem-solver with demonstrated ability to work independently.

Responsibilities

• Build embedded software prototypes to demonstrate new ML-powered audio features on our wearables.
• Design, implement, deploy and optimize deep learning models, data structure and algorithms on resource-constrained devices.
• Research, design and implement novel methods for efficient deep learning (e.g., quantization, pruning, NAS, knowledge distillation) with a focus on audio-related problems.
• Train and evaluate deep learning models to enable new experiences on our headphones, earbuds, soundbars, portable speakers and other consumer audio devices.
• Evaluate neural network hardware accelerators for low-power wearable devices, including working with various vendors' custom toolchains, software and hardware and informing leadership teams about tradeoffs.

Skills

C/C++ embedded

Python for ML

PyTorch/TensorFlow

Cross-group collaboration

Independent problem-solver

Education

M.S. or Ph.D. in CS/EE/ML

Job description

Bose Corporation in Framingham, Massachusetts, invites students to join a six-month Co-op as an Embedded Audio ML Engineer. The role is full-time (40 hours/week) in hybrid, in-office format from January through July 2027, with no relocation assistance.

You will deploy and optimize deep learning algorithms for resource-constrained devices across Bose wearables and consumer audio devices, building ML prototypes and advancing on-device inference.