CPT AI ML Platform Jobs
AI ML Platform CPT jobs place F-1 students inside the teams building the infrastructure that powers machine learning systems, model registries, feature stores, training pipelines, and deployment tooling. Your DSO must authorize CPT before you start, and the role must connect directly to your enrolled degree program, typically computer science, data science, or a related engineering field.
Find CPT AI ML Platform JobsOverview
Showing 5 of 17+ AI ML Platform jobs
See all AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Platform roles.
Get Access To All JobsLocation: Framingham, Massachusetts, United States of America
Category: Engineering
Job ID: R29274
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
Candidates must be available to work full-time (40 hours per week) from January 11 - June 25, 2027. No relocation assistance is available.
THE ROLE
The goal of the Audio Machine Learning Research team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real-time, on physical devices, for applications such as voice pickup, hearing augmentation and ones we haven't even thought of yet. As part of the team, you will work with experts in machine learning (ML), digital signal processing (DSP), software engineering and psychoacoustics to prototype and implement new algorithms.
Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!
Responsibilities:
- Most of your time will be devoted to prototyping, implementing and evaluating ML algorithms, curating and developing internal resources, and presenting your findings.
- You will integrate your novel solutions into existing systems and platforms to showcase new (proof of concept) solutions.
- You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, and/or submit papers to top-tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interpeech, etc.).
Education:
- Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
Skills:
- Practical knowledge of Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus) and Audio DSP (Python, Matlab and/or C/C++).
- Hands-on experience in at least one of the following research topics: Audio source separation, Speech enhancement, Microphone array signal processing, Tiny ML, Generative audio modelling.
- Familiarity with methods for spatial sound synthesis and/or room acoustics simulation/analysis is a plus.
- Strong communication skills. You will be presenting your work to a large interdisciplinary community.
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: R29274
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
Candidates must be available to work full-time (40 hours per week) from January 11 - June 25, 2027. No relocation assistance is available.
THE ROLE
The goal of the Audio Machine Learning Research team is to develop novel AI-powered audio processing algorithms. The twist is that our algorithms must run in real-time, on physical devices, for applications such as voice pickup, hearing augmentation and ones we haven't even thought of yet. As part of the team, you will work with experts in machine learning (ML), digital signal processing (DSP), software engineering and psychoacoustics to prototype and implement new algorithms.
Bose has a strong history of combining creative thinking with cutting-edge technology in the audio domain. We are looking for candidates passionate about machine learning and audio to help us shape the next chapter in the future of Bose!
Responsibilities:
- Most of your time will be devoted to prototyping, implementing and evaluating ML algorithms, curating and developing internal resources, and presenting your findings.
- You will integrate your novel solutions into existing systems and platforms to showcase new (proof of concept) solutions.
- You will be able to contribute to projects, which will be shipped to Bose customers, apply for patents, and/or submit papers to top-tier AI and signal processing conferences (e.g., NeurIPS, ICASSP, Interpeech, etc.).
Education:
- Pursuing or recently finished a graduate-level degree in ML, Computer Science, Music Technology or a related field.
Skills:
- Practical knowledge of Applied audio ML (TensorFlow/PyTorch, TFLite/ONNX is a plus) and Audio DSP (Python, Matlab and/or C/C++).
- Hands-on experience in at least one of the following research topics: Audio source separation, Speech enhancement, Microphone array signal processing, Tiny ML, Generative audio modelling.
- Familiarity with methods for spatial sound synthesis and/or room acoustics simulation/analysis is a plus.
- Strong communication skills. You will be presenting your work to a large interdisciplinary community.
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 CPT AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new CPT AI ML Platform Jobs.
Get Access To All JobsAI ML Platform CPT: Frequently Asked Questions
Does an AI ML Platform CPT role need to match my exact degree program?
Yes. CPT requires the work to be an integral part of your enrolled curriculum, which means your degree program must have a direct academic connection to the role. A computer science or data science student working on training pipelines or model deployment infrastructure typically satisfies this requirement. Your DSO makes the final determination, so bring a copy of the job description to your authorization appointment.
Can I do part-time CPT for an AI ML Platform role while taking classes?
Part-time CPT, defined by USCIS as fewer than 20 hours per week, doesn't count against your OPT eligibility, so it's often the safer option if you're still enrolled full-time. Many AI ML Platform teams offer structured part-time arrangements for student hires working on feature store or pipeline tooling. Confirm the exact weekly hours in your offer letter before submitting your CPT authorization request.
What happens to my CPT authorization if the employer changes my role responsibilities?
If your day-to-day work shifts significantly, for example from model deployment to general backend engineering, your existing CPT authorization may no longer cover the new duties. You'd need a revised job description and a new CPT authorization from your DSO. Get any material changes to your responsibilities in writing from your employer and report them to your DSO promptly.
How do I find AI ML Platform employers who have experience hiring F-1 CPT students?
Migrate Mate lets you filter AI ML Platform roles by employers with a track record of hiring international students, which shortens your search significantly. Employers already enrolled in E-Verify and familiar with CPT documentation requirements can typically onboard you faster and with less friction than those encountering the process for the first time.
Does full-time CPT affect my OPT eligibility after graduation?
Under USCIS rules, 12 months or more of full-time CPT eliminates your OPT eligibility entirely. Part-time CPT, regardless of total duration, has no impact on OPT. If your AI ML Platform role is full-time and expected to run across multiple semesters, track your cumulative CPT days carefully and discuss the long-term trade-offs with your DSO before accepting.