Machine Learning Engineer Visa Sponsorship Jobs in Massachusetts
Massachusetts is one of the strongest states for machine learning engineer visa sponsorship, driven by Boston's dense concentration of tech, biotech, and AI research employers. Companies like Amazon, Microsoft, Google, IBM, and MIT Lincoln Laboratory hire regularly in Cambridge, Boston, and Waltham, making the state a consistent source of H-1B visa and O-1 visa sponsorship opportunities for ML engineers.
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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.
Machine Learning Engineer Job Roles in Massachusetts
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Search Machine Learning Engineer Jobs in MassachusettsMachine Learning Engineer Jobs in Massachusetts: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Massachusetts?
Major H-1B sponsors for machine learning engineers in Massachusetts include Amazon, Microsoft, Google, IBM, Meta, Wayfair, HubSpot, Biogen, and a dense cluster of AI-focused startups in Cambridge and Boston. MIT-affiliated spinouts and biotech firms increasingly hire ML engineers to build research infrastructure, making Massachusetts one of the more active states for employer-sponsored visa petitions in this role.
Which visa types are most common for machine learning engineer roles in Massachusetts?
The H-1B is by far the most common visa for machine learning engineers in Massachusetts, as the role meets USCIS specialty occupation requirements given its reliance on advanced degrees in computer science, statistics, or a related field. O-1A visas apply for engineers with exceptional ability or recognition. Some candidates with Canadian or Mexican citizenship use TN visa status under the computer systems analyst category, though ML-specific TN eligibility depends on the exact job duties.
Which cities in Massachusetts have the most machine learning engineer sponsorship jobs?
Cambridge and Boston together account for the majority of machine learning engineer sponsorship activity in Massachusetts, anchored by MIT, Harvard, and the surrounding tech and biotech corridor. Waltham and Burlington host significant employer campuses including Oracle, Raytheon, and Analog Devices. Somerville's Assembly Row and the Seaport District in Boston have also grown as hubs for AI-focused companies hiring internationally.
How to find machine learning engineer visa sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters machine learning engineer roles by state, so you can browse Massachusetts-specific openings from employers with verified sponsorship histories. Because sponsorship policies vary significantly even within large companies, focusing your search on employers with a documented track record of H-1B filings for ML engineers in Massachusetts gives you the clearest signal of where to apply.
Are there any state-specific considerations for machine learning engineers seeking sponsorship in Massachusetts?
Massachusetts has a highly competitive talent market anchored by MIT, Harvard, Northeastern, and Boston University, which means employers are accustomed to hiring internationally and navigating visa sponsorship. The state's concentration of federally funded research institutions and defense contractors means some roles require security clearances, which can complicate or preclude sponsorship for non-citizens. Prevailing wage requirements for H-1B petitions are set at the Boston-Cambridge-Newton metropolitan level and tend to be among the higher wage tiers nationally.
What is the prevailing wage for sponsored machine learning engineer jobs in Massachusetts?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.