About the role#
We are looking for a Machine Learning and DSP Engineer Intern to join our research lab for the Summer 2027 term. This is a full-time, 3-month position based on-site in Framingham, Massachusetts. You will work on developing next-generation product experiences that help people hear better and enjoy music.
What you'll do#
- Research, implement, and evaluate multimodal sensor fusion methods for environmental sensing.
- Develop and test DSP and machine learning algorithms focused on room environmental sensing.
- Collect data using various sensors, including microphones, IMUs, and light-based systems.
- Build machine learning models, prepare training data, and maintain evaluation infrastructure.
What you'll need#
- Currently pursuing an M.S. or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or a related field.
- Strong programming skills in Python and MatLab.
- Experience with TensorFlow or PyTorch.
- Familiarity with deep learning neural networks, memory-constrained models, and training data development.
- Experience with camera and IMU data collection and signal processing.
- Understanding of real-time processing applications and acoustic modeling.
- Ability to work across groups and cultures.
- Creative problem-solving skills.
- Preferred: Knowledge of embedded DSP, C/C++, and bash scripting, along with a personal interest in music or acoustics.
Location & details#
- Location: Framingham, Massachusetts (On-site).
- Term: Summer 2027 (40 hours per week).
- Compensation: $40.00 - $51.25 per hour.
About Bose Corporation
Bose Corporation manufactures audio equipment for home, automotive, and aviation use. Dr. Amar G. Bose founded the company in 1964. It operates as a privately held business based in Framingham, Massachusetts. The company employs between 5,001 and 10,000 people and focuses on long-term research for audio technology.
How to get in at Bose Corporation
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