Bose Corporation · 13 hours ago
Audio Machine Learning Engineer Co-op
Bose Corporation is a leader in audio technology, known for innovation and excellence. They are seeking a Co-op participant in Machine Learning to apply classroom learning in a hands-on work environment, focusing on building next-generation audio products using deep learning techniques.
Consumer GoodsConsumer Electronics
Responsibilities
Build desktop and embedded software prototypes to demonstrate new ML-powered audio features on our wearables
Design, train, and evaluate deep learning algorithms with a focus on low-latency, on-device audio tasks
Research, implement, and benchmark state-of-the-art approaches in audio ML, speech enhancement, keyword spotting, and audio signal processing
Collaborate across hardware, firmware, and UX teams to define requirements and inform product roadmaps
Qualification
Required
Currently pursuing a M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a related field
3+ years of Python and C/C++ experience
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
Preferred
Prior internship or work experience as a Software/ML engineer
Publication record in ML or audio signal processing venues
Solid background in digital signal processing and embedded systems
Benefits
Bonus programs
Comprehensive health and welfare benefits
A 401(k) plan
Exclusive perks designed to support your wellbeing
A generous employee discount where you can immerse yourself in our products and experiences
Company
Bose Corporation
Bose Corporation is a privately held company that designs and manufactures audio equipment.
H1B Sponsorship
Bose Corporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (38)
2023 (35)
2022 (46)
2021 (38)
2020 (68)
Funding
Current Stage
Late StageLeadership Team
Recent News
MarketsandMarkets Research Pvt. Ltd.
2025-08-19
2025-08-04
EIN Presswire
2025-07-08
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