CPT Machine Learning Manager Jobs
Machine Learning Manager roles qualify for CPT when the work integrates directly into your degree program, your DSO must authorize each position before you start. These roles sit at the intersection of applied research and team leadership, so your CPT paperwork should reflect both the technical and managerial components of the job.
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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.
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Get Access To All JobsMachine Learning Manager CPT: Frequently Asked Questions
Does a Machine Learning Manager role qualify for CPT?
Yes, if the position integrates directly into your enrolled degree program and your DSO authorizes it before your start date. Machine Learning Manager roles in graduate programs covering AI systems, model lifecycle management, or data engineering typically satisfy the curricular integration requirement. Your DSO will review the job offer and confirm how the responsibilities map to your coursework.
Can I do CPT as a Machine Learning Manager while still taking classes?
Yes. CPT can be part-time (20 hours or fewer per week) or full-time (more than 20 hours) depending on your program structure. Part-time CPT is common during active semesters for roles like Machine Learning Manager, since the job demands can be heavy. Confirm with your DSO whether your program permits full-time CPT while enrolled and whether your academic credits require concurrent enrollment.
How do I find employers offering CPT-compatible Machine Learning Manager positions?
Search Migrate Mate for Machine Learning Manager roles posted by employers with F-1 work authorization experience. Because CPT authorization happens at the school level rather than requiring employer sponsorship, your focus should be on employers familiar with hiring F-1 students and willing to provide the offer letter documentation your DSO needs to process your CPT.
Does CPT as a Machine Learning Manager count toward OPT eligibility?
Part-time CPT doesn't affect your OPT eligibility regardless of duration. Full-time CPT used for 12 or more cumulative months removes your OPT eligibility entirely under USCIS regulations. Machine Learning Manager roles often involve full-time commitments, so if you're planning to use OPT after graduation, track your full-time CPT months carefully and discuss the tradeoff with your DSO before accepting any full-time offer.
What documentation does my employer need to provide for my CPT authorization?
Your DSO typically requires a formal offer letter that specifies your job title, start and end dates, work location, hours per week, and a description of your responsibilities. For a Machine Learning Manager role, the description should reference tasks that align with your degree program, such as overseeing model development workflows, leading applied research teams, or managing ML infrastructure projects. Generic offer letters without role-specific detail can delay or block DSO approval.