CPT ML Research Engineer Jobs
ML Research Engineer CPT jobs let F-1 students apply machine learning theory directly in industry labs, university spin-offs, and AI-focused startups. CPT must be authorized by your DSO before your first day and tied to a course in your program of study. Part-time CPT (under 20 hours per week) keeps your full-time OPT eligibility intact after graduation.
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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 JobsML Research Engineer CPT: Frequently Asked Questions
Does CPT for an ML Research Engineer role need to match my exact degree program?
Yes. CPT must be an integral part of your established curriculum, which means the research work has to connect directly to a course or academic requirement in your current program. A computer science PhD student working on deep learning qualifies. An MBA student accepting the same role almost certainly doesn't. Your DSO makes the final call based on your program's course requirements, not the job title alone.
Can I do CPT at a startup or early-stage AI lab, or does it need to be a large company?
Employer size doesn't affect CPT eligibility. What matters is that the company can document a legitimate training experience tied to your field of study. For ML research roles at early-stage labs, confirm the employer can provide a written description of your research scope. Some DSOs ask for this as part of authorization, and a startup with no formal HR process may not have it ready.
How do I find ML Research Engineer jobs where employers already understand F-1 CPT?
Migrate Mate lets you search ML Research Engineer roles filtered by employers with demonstrated history of sponsoring F-1 students and filing Labor Condition Applications with the DOL. That track record is a practical signal that the employer won't be learning CPT authorization from scratch when you bring them the paperwork.
What SOC code does an ML Research Engineer fall under, and why does it matter for CPT?
Most ML Research Engineer roles map to SOC 15-2051 (Data Scientists) or 15-1221 (Computer and Information Research Scientists) under O*NET. The SOC code affects how your employer files a Labor Condition Application if they later sponsor you for H-1B visa or OPT STEM extension. Confirming your job title maps to a recognized specialty occupation code before your CPT start date helps avoid classification disputes later.
Does full-time CPT as an ML Research Engineer affect my OPT or STEM OPT eligibility?
Full-time CPT lasting 12 months or more eliminates your OPT eligibility entirely, including the 24-month STEM extension. Part-time CPT, defined as fewer than 20 hours per week, does not count against OPT regardless of how many semesters you use it. If your ML research placement runs a full year, structuring it as part-time CPT across multiple terms protects your post-graduation work authorization options.