Audio Machine Learning Engineer Co-op

Bose Corporation • Framingham, MA

21h • $40 - $51 • Hybrid

About The Position

At Bose Corporation, we believe sound is the most powerful force on earth — and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound. Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation. Job Description ABOUT THE CO-OP PROGRAM Bose Corporation is seeking students to participate in our Co-op Program who share our belief that sound is power. During the six-month co-op, students will have the chance to apply classroom learning in a hands-on work environment. Co-op participants will network across the business to gain diverse perspectives within Bose Corporation. Additionally, co-ops will connect with other students and colleagues, building valuable professional relationships for the future. Fall Co-op: Candidates must be available to work full-time (40 hours per week) in a hybrid, in-office format from July 13 through December 18, 2026. No relocation assistance is available. THE ROLE At Bose, we use machine learning across a diverse set of problems ranging from speech enhancement (e.g., Bose PinPoint) to audio perception. As an ML Engineer Co-op at Bose, you will help build our next generation of wearable and speaker products empowered by deep learning.

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary.
• In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern