CPT AI ML Engineer Jobs
AI ML Engineer CPT jobs let F-1 students apply machine learning coursework directly in industry settings, but your DSO must confirm the role is an integral part of your degree program before you start. Most university AI and data science programs authorize full-time CPT for internships and co-ops that map to your research or lab requirements.
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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.
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Get Access To All JobsAI ML Engineer CPT: Frequently Asked Questions
Does my AI ML Engineer CPT role need to be in a specific industry to qualify?
No specific industry is required, but the work must be an integral part of your degree program as determined by your DSO. Whether you're working in healthcare AI, fintech, or autonomous systems, your DSO will evaluate whether the job duties map to your enrolled coursework, not the employer's industry sector.
Can I do CPT at a startup that doesn't have an immigration attorney on staff?
Yes. CPT authorization doesn't require the employer to file anything with USCIS or DOL. Your school handles the authorization through your I-20. The employer needs to provide a valid offer letter with enough job detail for your DSO to review. Many early-stage AI companies hire CPT students this way without dedicated immigration counsel.
Will working full-time CPT for 12 or more months affect my OPT eligibility?
Yes, it will. Full-time CPT totaling 12 or more months eliminates your eligibility for OPT entirely. If you're planning to use STEM OPT or standard OPT after graduation, track your full-time CPT hours carefully. Part-time CPT, regardless of duration, does not affect OPT eligibility.
How do I find AI ML Engineer employers that have hired CPT students before?
Migrate Mate lets you search by role and filter for employers with a history of sponsoring international students and filing LCAs for AI and ML positions. Employers with consistent LCA filing history for these roles are more likely to have established workflows for onboarding CPT students and transitioning them to OPT or H-1B visa.
Can my CPT cover remote AI ML work for an employer in a different state than my school?
CPT can cover remote work, but the logistics depend on your school's policies. Some DSOs require the worksite to be within a commutable distance from campus; others authorize remote arrangements. Confirm your school's remote CPT policy before accepting an offer, and get the remote work terms documented in your offer letter for DSO review.