OPT AI Research Scientist Jobs
AI Research Scientist roles are among the most OPT-friendly positions in tech, most require advanced degrees in computer science, machine learning, or a related field, which aligns well with F-1 students. STEM OPT extension eligibility gives you up to three years of work authorization, and many employers in this space actively recruit international researchers.
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Get Access To All JobsAudio AI Research Scientist — Audio Source Separation
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
Research Scientist — Audio Source Separation
The goal of our 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 dynamic awareness, hearing augmentation, agentic perception, voice pickup, content enhancement, and ones we haven’t even thought of yet. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.
You will develop next-generation algorithms that isolate, extract, or suppress individual sound sources from microphone recordings, sometimes augmented by other sensor signals. Applications include voice pickup, hearing augmentation, and new audio experiences that must ultimately run in real time on physical devices.
Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.
Responsibilities
- Research, prototype, train, and evaluate novel source separation and extraction algorithms for speech and other real-world sounds.
- Develop approaches for single- and multi-microphone recordings, including spatial cues and optional auxiliary sensors.
- Investigate robust separation in challenging conditions such as overlapping talkers, noise, reverberation, and motion.
- Evaluate perceptual quality, separation performance, generalization, latency, memory, and computational requirements.
- Collaborate with DSP and embedded software teams to deploy models in real-time demonstrations and product platforms; contribute to patents and conference papers.
Education
Graduate degree (MS or PhD) in machine learning, electrical engineering, computer science, or a related field, or equivalent research experience.
Skills
- Deep hands-on experience in audio source separation, target sound extraction, speech enhancement, or related neural audio processing.
- Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
- Strong knowledge of audio DSP, time-frequency methods, and microphone array or spatial signal processing.
- Experience training and evaluating audio models in PyTorch; proficiency in Python and familiarity with C/C++ is a plus.
- Understanding of objective and perceptual evaluation methods and the tradeoffs involved in real-time low-power inference.
- Experience with multimodal or sensor-conditioned separation, ONNX/TFLite, or embedded deployment is a plus.
- Strong communication skills; publications at conferences such as ICASSP, Interspeech, NeurIPS, or similar are welcome but not required.
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: $165,400-$227,500. 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.
Audio AI Research Scientist — Audio Source Separation
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
Research Scientist — Audio Source Separation
The goal of our 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 dynamic awareness, hearing augmentation, agentic perception, voice pickup, content enhancement, and ones we haven’t even thought of yet. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.
You will develop next-generation algorithms that isolate, extract, or suppress individual sound sources from microphone recordings, sometimes augmented by other sensor signals. Applications include voice pickup, hearing augmentation, and new audio experiences that must ultimately run in real time on physical devices.
Bose has a strong history of combining creative thinking with cutting-edge audio technology. We are looking for people passionate about machine learning and audio to help shape what comes next.
Responsibilities
- Research, prototype, train, and evaluate novel source separation and extraction algorithms for speech and other real-world sounds.
- Develop approaches for single- and multi-microphone recordings, including spatial cues and optional auxiliary sensors.
- Investigate robust separation in challenging conditions such as overlapping talkers, noise, reverberation, and motion.
- Evaluate perceptual quality, separation performance, generalization, latency, memory, and computational requirements.
- Collaborate with DSP and embedded software teams to deploy models in real-time demonstrations and product platforms; contribute to patents and conference papers.
Education
Graduate degree (MS or PhD) in machine learning, electrical engineering, computer science, or a related field, or equivalent research experience.
Skills
- Deep hands-on experience in audio source separation, target sound extraction, speech enhancement, or related neural audio processing.
- Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
- Strong knowledge of audio DSP, time-frequency methods, and microphone array or spatial signal processing.
- Experience training and evaluating audio models in PyTorch; proficiency in Python and familiarity with C/C++ is a plus.
- Understanding of objective and perceptual evaluation methods and the tradeoffs involved in real-time low-power inference.
- Experience with multimodal or sensor-conditioned separation, ONNX/TFLite, or embedded deployment is a plus.
- Strong communication skills; publications at conferences such as ICASSP, Interspeech, NeurIPS, or similar are welcome but not required.
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: $165,400-$227,500. 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 476+ OPT AI Research Scientist Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an AI Research Scientist
Target research-heavy employers
Companies with dedicated AI research labs, think large tech firms and university spinouts, are far more likely to sponsor OPT than generalist employers. Their hiring pipelines are built around international researchers with advanced degrees.
Lead with your research output
Publications, conference presentations, and GitHub repositories carry more weight for AI Research Scientist roles than job history. Highlight first-author papers and accepted submissions to NeurIPS, ICML, or ICLR prominently on your resume and application.
Confirm your STEM OPT eligibility early
Most AI Research Scientist roles qualify for the 24-month STEM OPT extension, giving you three years total. Verify your degree program CIP code with your DSO before applying so you can communicate your full authorization window to employers.
Address OPT timing proactively
Employers worry about authorization gaps more than the visa itself. Know your OPT start date, expiration, and STEM extension deadline, and be ready to walk a hiring manager through the timeline clearly during early conversations.
Align your specialty with employer roadmaps
Generative AI, reinforcement learning, and multimodal systems are active research priorities at many labs. Framing your PhD work or postdoc research around a specific technical area an employer is investing in strengthens your case significantly.
Use Migrate Mate to find OPT-ready roles
Not every employer understands OPT. Migrate Mate surfaces AI Research Scientist positions from companies already familiar with sponsoring international researchers, so you spend less time filtering and more time applying to genuinely viable opportunities.
AI Research Scientist OPT: Frequently Asked Questions
Do AI Research Scientist roles qualify for the STEM OPT extension?
Yes, in most cases. AI Research Scientist positions typically fall under CIP codes in computer science, electrical engineering, or mathematics, all STEM-designated fields. If your degree program is STEM-classified, you can apply for the 24-month STEM OPT extension, giving you up to three years of work authorization total. Confirm your specific CIP code with your DSO before assuming eligibility.
Do I need a PhD to get an AI Research Scientist job on OPT?
A PhD is standard for research scientist roles at major AI labs, but some companies hire MS graduates into research scientist or associate researcher positions. If you hold an MS, focus on employers with applied research teams rather than pure research labs. Your publication record and demonstrated research output will matter more than the degree level alone.
How do I find AI Research Scientist jobs that sponsor OPT?
The challenge isn't finding AI research roles, it's identifying which employers already understand OPT authorization. Migrate Mate filters for companies with a track record of hiring international researchers on OPT and H-1B visa, so you can focus your applications on employers who won't drop you at the offer stage over visa questions.
Can I work on a research project independently while on OPT?
OPT requires that your employment be directly related to your degree field, but independent consulting or contract research can qualify as long as it's legitimate work in your field and you track your employment properly. Unpaid self-directed projects don't count toward your employment requirement. Any gap of 90 days or more of unemployment while on OPT can jeopardize your status.
What happens to my OPT if my employer's H-1B petition for me isn't selected in the lottery?
If your employer files an H-1B petition on your behalf and it isn't selected, your OPT remains valid until its expiration date. If you have a STEM OPT extension, you can continue working under that authorization. Many AI research employers will refile in the next lottery cycle. It's worth discussing this scenario openly with your employer before accepting an offer.