OPT Artificial Intelligence Scientist Jobs
Artificial Intelligence Scientist roles are among the most OPT-friendly positions in tech, with the majority of employers already familiar with H-1B visa sponsorship pipelines. STEM OPT extension eligibility gives you up to three years of work authorization, making you a competitive candidate at research labs, AI-focused startups, and large tech companies.
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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 498+ OPT Artificial Intelligence Scientist Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as an Artificial Intelligence Scientist
Target STEM-designated programs first
Your CIP code must fall under an approved STEM field to qualify for the 24-month extension. Confirm your degree classification with your DSO before applying, since some AI and data science programs were added to the STEM list recently.
Prioritize employers with active H-1B filing history
Companies that have sponsored H-1B visa petitions for AI scientists are significantly more likely to continue doing so. Research employer sponsorship patterns before investing time in applications, rather than relying on job postings alone to signal willingness.
Frame your research experience around applied impact
Hiring managers at companies that sponsor visas want to see how your research translates to production systems. Quantify model performance improvements, deployment outcomes, or compute efficiency gains in your resume to stand out in technical screening rounds.
Apply to national labs and R&D-heavy employers
Federal contractors and national research laboratories frequently hire AI scientists and have established processes for sponsoring work visas. These roles often align closely with advanced degree backgrounds and value publications, patents, and domain specialization over broad industry experience.
Start your job search at least six months before OPT expires
H-1B cap-subject petitions must be filed by April 1 for an October 1 start date. If your OPT ends before October, you may need a cap-exempt employer or a bridge strategy, so early planning matters significantly.
Highlight publications and open-source contributions
AI scientist roles are highly credential-driven. Listing peer-reviewed papers, conference presentations at NeurIPS or ICML, or significant open-source model contributions signals the kind of specialized expertise that justifies a visa sponsorship investment to hiring teams.
Artificial Intelligence Scientist OPT: Frequently Asked Questions
Do Artificial Intelligence Scientist roles qualify for the STEM OPT extension?
Yes, in nearly all cases. AI scientist positions require a degree in computer science, statistics, mathematics, or a closely related STEM field, all of which qualify for the 24-month STEM OPT extension. That gives you up to three years of total OPT work authorization, which is one of the primary reasons AI roles are attractive to F-1 students navigating post-graduation work authorization.
How many employers actively sponsor AI Scientists for H-1B visas?
A substantial number do. Large technology companies, AI-native startups, financial institutions with quantitative research teams, and national research laboratories all have established H-1B sponsorship processes and regularly hire for AI scientist roles. Migrate Mate filters specifically for OPT-friendly and sponsoring employers, so you can focus your search on companies that have already demonstrated willingness to sponsor rather than guessing from job descriptions.
Can I work as an AI Scientist on OPT before the H-1B lottery?
Yes. You can begin working as soon as your OPT authorization starts, and you can continue on STEM OPT extension while your employer files an H-1B petition. If selected in the lottery, your H-1B takes effect October 1. If not selected, you can remain on STEM OPT until it expires, giving your employer multiple lottery cycles to try again.
What degree fields count as qualifying STEM for AI Scientist OPT?
Computer science, electrical engineering, applied mathematics, statistics, cognitive science, and data science are all on the approved STEM CIP code list. Some newer AI-specific degree programs may also qualify. Your DSO at your university can confirm whether your specific program is designated as STEM, which is the key eligibility requirement for the extension.
Is a PhD required to get visa sponsorship as an AI Scientist?
Not always, though a PhD significantly strengthens your candidacy for research-focused roles and makes the H-1B specialty occupation case easier to establish. Many industry AI scientist positions accept candidates with a master's degree plus strong research experience or publications. The role title and duties matter more than the degree level when employers assess whether sponsorship is viable for a specific position.