DSP/ML Research Engineer Intern | Summer 2027

Posted 19 Minutes Ago
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Framingham, MA, USA
Hybrid
40-51 Hourly
Internship
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
We believe sound is the most powerful force on earth.
The Role
Machine Learning/DSP Research Engineer Intern developing and evaluating multimodal sensor fusion, digital signal processing, and machine learning algorithms for room environmental sensing. Responsibilities include collecting microphone, IMU, camera, and light-based sensor data; building machine learning models and training datasets; and developing evaluation infrastructure for real-time applications.
Summary Generated by Built In
At Bose Corporation, we believe sound is the most powerful force on earth - and for over 60 years, we have been a company built on innovation, excellence, and independence. Privately owned, fiercely customer-focused, and driven by our values, we continue to lead industries and transform lives through sound.
Today, Bose Corporation is entering an exciting new era. Across multiple global Business Units and Global Functions, we are shaping the future of audio technology, automotive, luxury, and premium experiences. We invite you to join us in this transformation.
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. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves.

Skills Required

  • Currently pursuing a master's or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or a related field
  • Strong programming experience in Python and MATLAB
  • Strong experience with TensorFlow or PyTorch
  • Experience with camera and IMU data collection and signal processing
  • Familiarity with machine learning, deep learning neural networks, memory-constrained models, and training data development
  • Familiarity with real-time processing applications
  • Familiarity with acoustic modeling
  • Experience with cross-group and cross-cultural collaboration
  • Creativity and strong problem-solving capabilities
  • Machine Learning Engineer experience through 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

What the Team is Saying

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Bose Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage includes medical, dental, pharmacy, and vision for employees and dependents, alongside employee assistance programs and mental-health support. These offerings are consistently presented as comprehensive pillars of the package.
  • Leave & Time Off Breadth — Paid vacation, personal and sick time, company holidays, and multiple paid leaves are part of the offering. Some roles also experience a year‑end holiday shutdown, though applicability can vary.
  • Retirement Support — Retirement programs feature a 401(k) with employer contributions, a Core Contribution plan, and, for eligible groups, a traditional pension, plus life insurance and financial coaching. This mix is highlighted as a meaningful long‑term support structure.

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The Company
HQ: Framingham, MA
2,900 Employees
Year Founded: 1964

What We Do

At Bose Corporation, we’re powered by our legendary brands — Bose, McIntosh, and Sonus faber — bringing together more than 175 years of combined technical expertise, craftsmanship and artistry. Founded by Dr. Amar Bose, our company is driven by purpose and devoted to advancing what’s possible in audio — creating transformative experiences in the home, on the go, and on the road.

Why Work With Us

At Bose Corp., we’re united by a simple belief: sound is the most powerful force on earth. It moves us, focuses us, connects us. It’s why we exist to invent—advancing science and art—to deliver transformative experiences. Join us to invent what’s next—and unleash the power of sound, together. Let’s Make Waves.

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Bose Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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