STEM OPT AI Researcher Jobs
AI Researcher roles fall under STEM-designated CIP codes, making them eligible for the 24-month STEM OPT extension on top of your initial 12-month OPT period. Your employer must be enrolled in E-Verify and sign a formal I-983 training plan. A STEM degree in computer science, electrical engineering, statistics, or a related field is required to qualify.
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Get Access To All JobsAudio AI Research Scientist — Audio Understanding
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
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 context understanding, dynamic awareness, augmented hearing and ones we haven’t yet imagined. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.
You will develop audio understanding algorithms that enable devices to recognize what is happening in the world around them. Areas of interest include sound event detection and localization (SELD), acoustic scene understanding, unusual or anomalous sound detection, and multimodal context understanding from audio, video, and motion sensors.
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 audio understanding models, from early experiments through real-time deployment on devices.
- Develop robust methods for sound event detection/localization, acoustic anomaly detection, and context-aware audio interpretation.
- Explore multimodal approaches that combine microphone signals with video, IMU, or other sensor data when useful.
- Build and curate datasets and data pipelines, evaluation protocols, and demonstrations that measure accuracy, robustness, latency, and compute cost.
- Work with DSP and software engineers to integrate models into proof-of-concept systems and product platforms; communicate results and contribute to patents or conference papers.
Education
Graduate degree (MS or PhD) in machine learning, computer science, electrical engineering, or a related field, or equivalent research experience.
Skills
- Strong hands-on experience with modern audio understanding models, including sound event detection, SELD, acoustic scene analysis, or anomaly detection.
- Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
- Experience developing and evaluating deep learning models in PyTorch; strong Python skills.
- Understanding of audio representations, DSP, and evaluation metrics for detection, localization, and generalization.
- Experience with multimodal fusion (video, IMU, or other sensors) for context understanding is a plus.
- Experience with efficient inference, causal ML, ONNX/TFLite, embedded ML, or C/C++ 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 Understanding
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
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 context understanding, dynamic awareness, augmented hearing and ones we haven’t yet imagined. You will work with experts in ML, DSP, software engineering, and psychoacoustics to prototype and implement new algorithms.
You will develop audio understanding algorithms that enable devices to recognize what is happening in the world around them. Areas of interest include sound event detection and localization (SELD), acoustic scene understanding, unusual or anomalous sound detection, and multimodal context understanding from audio, video, and motion sensors.
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 audio understanding models, from early experiments through real-time deployment on devices.
- Develop robust methods for sound event detection/localization, acoustic anomaly detection, and context-aware audio interpretation.
- Explore multimodal approaches that combine microphone signals with video, IMU, or other sensor data when useful.
- Build and curate datasets and data pipelines, evaluation protocols, and demonstrations that measure accuracy, robustness, latency, and compute cost.
- Work with DSP and software engineers to integrate models into proof-of-concept systems and product platforms; communicate results and contribute to patents or conference papers.
Education
Graduate degree (MS or PhD) in machine learning, computer science, electrical engineering, or a related field, or equivalent research experience.
Skills
- Strong hands-on experience with modern audio understanding models, including sound event detection, SELD, acoustic scene analysis, or anomaly detection.
- Comfortable tackling complex, open-ended problems where you have to experiment with and discard many ideas before finding the right solution.
- Experience developing and evaluating deep learning models in PyTorch; strong Python skills.
- Understanding of audio representations, DSP, and evaluation metrics for detection, localization, and generalization.
- Experience with multimodal fusion (video, IMU, or other sensors) for context understanding is a plus.
- Experience with efficient inference, causal ML, ONNX/TFLite, embedded ML, or C/C++ 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 265+ STEM OPT AI Researcher Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization in AI Researcher
Verify your CIP code before applying
Cross-check your degree's CIP code against the DHS STEM OPT designated degree list before targeting roles. A degree in data science or applied mathematics qualifies; a general information systems degree may not. Confirm with your DSO before your OPT end date.
Filter employers by E-Verify enrollment status
STEM OPT requires your employer to be actively enrolled in E-Verify, not just registered. Ask the recruiter to confirm current enrollment before your first interview. An employer that lets enrollment lapse after your start date puts your authorization at risk.
Align your I-983 training plan with research deliverables
AI Researcher roles require a signed I-983 training plan with specific learning objectives and performance benchmarks. Frame your objectives around measurable research outputs, such as model accuracy improvements or published findings, so the plan satisfies USCIS requirements on its face.
Use Migrate Mate to target verified STEM OPT employers
Search for AI Researcher openings on Migrate Mate, which surfaces employers with confirmed E-Verify enrollment and STEM OPT hiring history. This cuts the time you'd otherwise spend manually vetting employers through the E-Verify employer search tool.
Check prevailing wage before negotiating your offer
Look up the SOC code 15-2051 or 15-1221 wage level for your metro area using the OFLC Wage Search before you negotiate. Your offer must meet the DOL prevailing wage for your role and location, so knowing the floor prevents a mismatch that could delay your I-983 approval.
File your STEM OPT extension 90 days before OPT expires
USCIS requires your STEM OPT extension application to be filed before your initial OPT EAD expires. Submit at least 90 days early to stay inside the automatic 180-day cap-gap protection window and avoid a gap in your work authorization between approval cycles.
Frequently Asked Questions
Does my degree qualify me for the STEM OPT extension as an AI Researcher?
Your degree qualifies if it appears on the DHS STEM OPT designated degree list with a matching CIP code. Degrees in computer science, statistics, mathematics, electrical engineering, and applied data science typically qualify. Degrees in general business or information management often do not, even if your coursework was technical. Confirm your specific CIP code with your DSO before applying.
What does an AI Researcher I-983 training plan need to include?
The I-983 must name your employer, describe how the AI Researcher role relates to your STEM degree, and list measurable learning objectives and performance benchmarks. USCIS expects concrete deliverables tied to your research work, such as model development milestones or publication targets. Both you and your employer supervisor must sign it, and your DSO must update your SEVIS record before you can file the extension.
How do I confirm my employer is enrolled in E-Verify?
Ask your recruiter or HR contact to confirm active E-Verify enrollment before you accept an offer. You can also search the public E-Verify employer search tool by company name or EIN to check enrollment status. Enrollment must remain active throughout your STEM OPT period, not just at the time of hiring. A lapsed enrollment requires your employer to re-enroll before you can legally continue working.
What happens to my STEM OPT authorization if my AI Researcher role changes within the same company?
A material change in job duties, location, or compensation requires an updated I-983 training plan submitted to your DSO within 10 days. If your role shifts from AI research to a non-STEM function, your STEM OPT authorization may no longer apply to that position. Minor project changes within the same research track generally do not require a new plan, but document the continuity in writing with your employer.
Where can I find AI Researcher jobs that already accept STEM OPT candidates?
Migrate Mate lists AI Researcher openings from employers with confirmed E-Verify enrollment and a track record of hiring STEM OPT students. Searching there filters out employers who either aren't E-Verify enrolled or have no history of supporting OPT extensions, which saves you the back-and-forth of vetting eligibility after you've already applied.