Machine Learning Research Engineer Co-Op - TinyML

Job Description ABOUT BOSE 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. And we’ve dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, “I can make this better,” we’ve been relentlessly pushing forward to the next best thing. Innovation is more than what we do. It’s who we are — constantly learning and constantly curious. We never stop imagining what better sound sounds like. We’re music fanatics and audio engineers. We’re explorers and inventors and dreamers. And we’re passionate down to our bones about making whatever you’re listening to a little more magical. THE PROGRAM We're looking for students to join our Co-Op Program who are obsessively curious about 'what's next'. You'll get hands on experience with our products and learn from the best of the best in the business. You will immerse yourself into Bose for 6 months and get the opportunity to grow the skills your learned in the classroom with hands on work experience. By the time you end your time with us, you will have been given the opportunity to truly make a real impact in the future of Bose and your career! Opportunities don't stop at your day-to-day work. While you're getting an in depth look at your area of expertise, we'll expose you to other areas of the company. Our Co-Ops are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You'll network with other Co-Ops and colleagues to grow your network for the future! Timeframe - January-June 2024 THE ROLE Bose's mission is to empower people to focus more, feel more and achieve more by innovating the most magical audio technologies –– technologies that elegantly blend cutting-edge research in acoustics, digital signal processing, machine learning, software, and hardware. Through our ecosystem of earbuds, headphones, and speakers in-the-home, on-the-go, and in-the-car, we are creating the most immersive audio technology to let people enjoy sound in a depth and quality they have never experienced before. By crafting more adaptive and personalized algorithms, we continue to uplift noise cancellation, creating a clean & noise-free canvas for artists to deliver astonishing sound with the fullest range and the finest texture. Through our innovation in self-fitting hearing aids, we are bringing superpower to people, allowing people to focus on sound they care about while blocking out undesired noises. Our global research teams are constantly iterating, solving problems, and innovating to make these technologies better. Together, we can help empower people to focus more, feel more, and to achieve their fullest potential. We are looking for an ambitious ML Engineer Co-Op to join Bose Research this spring! At Bose, we use machine learning across a diverse set of problems ranging from speech enhancement (e.g., Bose PinPoint) to audio perception. In this role you will help deploy deep learning models on cutting-edge hardware designed for headphones and earbuds. Such hardware platforms contain neural network accelerators and various other components to enable efficient processing of neural networks on the edge. You will also help us research various model compression techniques –– such as quantization, pruning, clustering, hardware-model co-design, and compiler/mapper optimization –– to minimize the size of our models, accelerate inference, reduce energy consumption, and potentially enable magical experiences never seen before on headphones and earbuds. The duration of this position is 6 months starting January 2024 (full-time 40 hours/week). 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., ICLR, ISCA, ICASSP) demonstrating innovative research Solid understanding and experience working with audio and digital signal processing 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. Candidate Privacy Notice Candidate Terms & Conditions Cookie Notice We’re a company built on disruptive innovation—having the courage to challenge the status quo, an unwavering commitment to our customers, and the fundamental belief that anything is possible. We never settle; we have a passion for discovering better ways to help people enjoy the things they love. We need people like you, people with better solutions. If you join us, you’ll find the opportunity to do your best work and the freedom to enjoy it. Here, every employee has the opportunity to build their own success and contribute to ours. It’s an atmosphere of trust, collaboration, high expectations, and great reward.