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 for machine learning.
Familiarity with camera and IMU data collection and signal processing.
Knowledge of machine learning concepts, including deep learning and training data development.
Understanding of real-time processing applications and acoustic modeling.
Experience in cross-group and cross-cultural collaboration.
Responsibilities
Research and implement multimodal fusion methods for environmental sensing.
Develop and evaluate DSP and machine learning algorithms for room environmental sensing.
Collect data using various sensors, including microphones and IMUs.
Create machine learning models and establish training data and evaluation infrastructure.
Benefits
Comprehensive health and welfare benefits.
401(k) plan with company contributions.
Bonus programs based on performance.
Exclusive perks to support employee wellbeing.
Generous employee discount on products and experiences.
Full Job Description
Job Description
DSP/ML Research Engineer Intern | Summer 2027
We are looking for a Machine Learning/DSP Engineer Intern to join our research lab this summer! In this role you will help build our next generation product experiences enabling people to hear better, relish musical experiences, and achieve more. The duration of this position is 3 months starting June 2027 (full-time 40 hours/week).
Responsibilities
Research, implement and evaluate of multimodal fusion methods of sensors for environmental sensing.
Develop and evaluate DSP and Machine Learning algorithms with a focus on room environmental sensing application.
Collecting data using a variety of sensors such as microphones, IMUs, and light based systems.
Develop machine learning models, training data, and evaluation infrastructure.
Minimum Qualification
Currently in the process of obtaining a M.S., or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or related field.
Strong experience with programing in Python and MatLab.
Strong experience with TensorFlow or PyTorch.
Experience with camera and IMU data collection and signal processing.
Familiar with Machine Learning, including deep learning neural networks, memory constrained models, and training data development.
Familiar with real time processing applications.
Familiar with acoustic modeling.
Experience with cross-group and cross-culture collaboration.
High levels of creativity and quick problem-solving capabilities.
Preferred Qualification
Demonstrated Machine Learning Engineer experience via an internship, co-op, class, or personal project.
Knowledge of embedded DSP.
Knowledge of C/C++, and bash scripting
Music or Acoustic experience and interests
At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in the primary work location of Framingham, Massachusetts is: $40.00-$51.25 per hour.The hiring range for other Bose work locations may vary.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.
About Bose
Bose Corporation is an American manufacturing company that predominantly sells audio equipment. The company was established by Amar Bose in 1964 and is based in Framingham, Massachusetts. Bose is best known for its home audio systems and speakers, noise-cancelling headphones, professional audio products and automobile sound systems. The company has also conducted research into suspension technologies for cars and heavy-duty trucks and into the subject of cold fusion. Bose has a reputation for being particularly protective of its patents, trademarks, and brands.
