Efficient ML Engineer Co-op | Fall 2025

You know the moment. It’s the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying “hello.” It’s in these moments that sound matters most. 

At Bose, we believe sound is the most powerful force on earth. We’ve dedicated ourselves to improving it for nearly 60 years. And we’re passionate down to our bones about making whatever you’re listening to a little more magical. 

The engineering team at Bose is a thriving, passionate, deeply skilled team of professionals from a broad range of disciplines and experiences, who share a common goal—to create products that provide transformative sound experiences.

Job Description

Push the boundaries of deep learning innovation at Bose Research!

Are you passionate about crafting cutting-edge machine learning solutions that transform everyday experiences? Bose Research is looking for a talented and driven Machine Learning Co-op to join our team this Fall! This is your chance to contribute to groundbreaking advancements in efficient deep learning and help shape the future of audio technology.

Why Bose?

At Bose, we’re revolutionizing the way people experience sound. By leveraging the power of machine learning, we tackle diverse challenges in audio perception, speech enhancement, source separation and many others. As part of our team, you’ll work on next-gen wearable and speaker products powered by deep learning –– making them smarter, more context-aware, and ultimately helping our customers hear better, focus better, and live better.

The ideal candidate will have multiple years of experience crafting deep learning solutions and a proven track record, as well as a strong understanding of the fundamentals of software development and engineering principles. You should have a passion for pushing the boundaries of what can be achieved with AI and a deep understanding of computer science fundamentals. Background in pruning, quantization, NAS, efficient backbones, knowledge distillation, and so on, is expected.

TIMEFRAME- July 2025- December 2025

Responsibilities

• Prune and compress deep learning models for deployment on edge devices.

• Research, implement and evaluate a variety of published approaches and come up with new approaches to optimize deep learning models for specific audio problems on specific hardware platforms with neural network accelerators.

• Suggest, collect, and synthesize requirements to inform our roadmap of hardware platforms to better support machine learning based experiences.

Minimum Qualification

• Currently has, or is in the process of obtaining, a M.S. or PhD in Computer Science, Electrical Engineering, Machine Learning, or related field.

• Strong programming background with 3+ years of experience in Python and C/C++.

• Strong experience in implementing deep neural networks with Tensorflow, Keras, PyTorch, etc.

• Familiar with latest research in deep learning on the edge (e.g., pruning, quantization, neural architecture search)

• Experience with cross-group and cross-culture collaboration.

• High levels of creativity and quick problem-solving capabilities

Preferred Qualification

• Proven software engineer experience via an internship, work experience, coding competitions.

• Strong publication record in relevant venues (e.g., NeurIPS, ICLR, ICASSP) demonstrating innovative research

Bose is an equal opportunity employer that is committed to inclusion and diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company's pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to Wellbeing@bose.com and let us know the nature of your request and your contact information.

Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.

If you believe you need a reasonable accommodation, please send a note to wellbeing@bose.com