Audio Machine Learning Intern/Co-op
Bose Corporation — Bloomfield Hills, MI
Posted: 2026-10-19
Job Description
• Audio Machine Learning Intern/Co-op developing, training, evaluating, and integrating machine learning and deep learning algorithms for audio applications.
• Researches audio ML and digital signal processing approaches spanning speech enhancement, source separation, microphone arrays, TinyML, generative audio, spatial audio, and audio perception.
• Requires current or recent M.S. or Ph.D. study in Computer Science, Electrical Engineering, Machine Learning, Music Technology, or a related field, plus experience with PyTorch, TensorFlow, Keras, Python, and audio/DSP fundamentals.
• Collaborates with machine learning, DSP, software engineering, psychoacoustics, research, and engineering teams; presents findings and technical recommendations.
• Full-time role with listed work locations including Bloomfield Hills, MI; compensation is $40.00-$51.25 per hour in the primary Framingham, Massachusetts location.