CPT Machine Learning Intern Jobs
Machine Learning Intern jobs on CPT let you apply neural networks, model training, and data pipeline work directly inside your degree program. Your DSO must authorize each CPT position before you start, and the role must connect to your enrolled coursework. Full-time CPT is available but counts against your OPT eligibility if used for 12 months or more.
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Get Access To All JobsLocation: Framingham, Massachusetts, United States of America
Category: Engineering
Job ID: R28719
Brand: Bose Corporation, U.S.A
Posted Date: October 12th 2026
widget: Full time
Description
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
ABOUT THE CO-OP PROGRAM
Bose Corporation is seeking students to participate in our Co-op Program who share our belief that sound is power. During the six-month co-op, students will have the chance to apply classroom learning in a hands-on work environment. Co-op participants will network across the business to gain diverse perspectives within Bose Corporation. Additionally, co-ops will connect with other students and colleagues, building valuable professional relationships for the future.
Spring Co-op: Candidates must be available to work full-time (40 hours per week) in a hybrid, in-office format from January through July, 2027. No relocation assistance is available.
THE ROLE
At Bose, we use machine learning across a diverse set of problems ranging from speech enhancement (e.g., SpeechClarity) to audio perception. As an Embedded Audio ML Engineer Co-op at Bose, you will help deploy and optimize our next generation deep learning algorithms for resource-constrained devices.
Responsibilities
- Build embedded software prototypes to demonstrate new ML-powered audio features on our wearables
- Design, implement, deploy and optimize deep learning models, data structure and algorithms on resource-constrained devices
- Research, design and implement novel methods for efficient deep learning (e.g., quantization, pruning, NAS, knowledge distillation) with a focus on audio-related problems
- Train and evaluate deep learning models to enable new experiences on our headphones, earbuds, soundbars, portable speakers and other consumer audio devices
- Evaluate neural network hardware accelerators for low-power wearable devices, including working with various vendors’ custom toolchains, software and hardware and informing leadership teams about tradeoffs
Minimum Qualifications
- Currently pursuing a M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a related field
- Strong proficiency in C/C++ for embedded systems
- Proficiency in Python for model conversion, evaluation, or tooling workflows
- Strong experience implementing deep neural networks with PyTorch, TensorFlow, or similar frameworks
- Proven cross-group and cross-culture collaboration skills
- Creative problem-solver with demonstrated ability to work independently
Preferred Qualifications
- Prior internship or work experience as a Software/ML engineer
- Experience deploying ML models on edge or resource-constrained devices (MCU/DSP/NPU)
- Solid background in audio deep learning and digital signal processing
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.
Location: Framingham, Massachusetts, United States of America
Category: Engineering
Job ID: R28719
Brand: Bose Corporation, U.S.A
Posted Date: October 12th 2026
widget: Full time
Description
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
ABOUT THE CO-OP PROGRAM
Bose Corporation is seeking students to participate in our Co-op Program who share our belief that sound is power. During the six-month co-op, students will have the chance to apply classroom learning in a hands-on work environment. Co-op participants will network across the business to gain diverse perspectives within Bose Corporation. Additionally, co-ops will connect with other students and colleagues, building valuable professional relationships for the future.
Spring Co-op: Candidates must be available to work full-time (40 hours per week) in a hybrid, in-office format from January through July, 2027. No relocation assistance is available.
THE ROLE
At Bose, we use machine learning across a diverse set of problems ranging from speech enhancement (e.g., SpeechClarity) to audio perception. As an Embedded Audio ML Engineer Co-op at Bose, you will help deploy and optimize our next generation deep learning algorithms for resource-constrained devices.
Responsibilities
- Build embedded software prototypes to demonstrate new ML-powered audio features on our wearables
- Design, implement, deploy and optimize deep learning models, data structure and algorithms on resource-constrained devices
- Research, design and implement novel methods for efficient deep learning (e.g., quantization, pruning, NAS, knowledge distillation) with a focus on audio-related problems
- Train and evaluate deep learning models to enable new experiences on our headphones, earbuds, soundbars, portable speakers and other consumer audio devices
- Evaluate neural network hardware accelerators for low-power wearable devices, including working with various vendors’ custom toolchains, software and hardware and informing leadership teams about tradeoffs
Minimum Qualifications
- Currently pursuing a M.S. or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, or a related field
- Strong proficiency in C/C++ for embedded systems
- Proficiency in Python for model conversion, evaluation, or tooling workflows
- Strong experience implementing deep neural networks with PyTorch, TensorFlow, or similar frameworks
- Proven cross-group and cross-culture collaboration skills
- Creative problem-solver with demonstrated ability to work independently
Preferred Qualifications
- Prior internship or work experience as a Software/ML engineer
- Experience deploying ML models on edge or resource-constrained devices (MCU/DSP/NPU)
- Solid background in audio deep learning and digital signal processing
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.
See all 47+ CPT Machine Learning Intern Jobs
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Get Access To All JobsMachine Learning Intern CPT: Frequently Asked Questions
Does a Machine Learning Intern role qualify for CPT?
Yes, if the work directly relates to your enrolled program. ML intern duties like model training, dataset curation, and experiment tracking map cleanly to graduate programs in computer science, data science, and statistics. Your DSO makes the final determination, so bring the full job description to your authorization meeting and highlight the technical overlap with your coursework.
Can I do full-time CPT as a Machine Learning Intern?
You can, but full-time CPT carries a significant trade-off: 12 or more months of full-time CPT eliminates your OPT eligibility entirely. Part-time CPT of 20 hours or fewer per week doesn't affect OPT. Most F-1 students in ML roles structure their first CPT as part-time to preserve post-graduation options, then decide on full-time only if a specific program or thesis requires it.
How do I find employers that hire CPT students for ML internships?
Migrate Mate lets you filter for employers with a history of hiring F-1 students in machine learning and data science roles. Research labs, AI-focused startups, and large tech companies are the most active CPT employers in this space. Confirm before applying that the employer understands CPT work authorization and doesn't require H-1B visa sponsorship as a precondition for intern hiring.
Does my employer need to file anything with USCIS for CPT?
No. CPT is authorized entirely through your school and DSO, not through USCIS. Your employer doesn't file a petition or pay a government fee. The only paperwork your employer handles is the standard I-9 employment eligibility verification, for which your CPT-endorsed I-20 and valid F-1 visa or other acceptable document serve as the authorization.
What happens if my ML internship extends beyond the semester listed on my I-20?
You must get a new CPT authorization from your DSO before the extension start date. Working past the end date on your current I-20 without an updated authorization is a status violation. Contact your DSO at least two weeks before the original end date, provide the amended offer letter or extension confirmation, and don't continue working until the updated I-20 is in hand.