STEM OPT AI Engineer Jobs
AI Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months total on your F-1 authorization, 12 months of OPT plus a 24-month STEM extension. Your employer must be enrolled in E-Verify, and your degree in computer science, data science, or a related STEM field must align with the CIP code on your I-20.
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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.
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Get Access To All JobsTips for Finding STEM OPT Authorization as an AI Engineer
Verify your CIP code before applying
Check that your degree's CIP code on your I-20 maps to a recognized STEM field. Computer science, electrical engineering, and statistics all qualify, but your DSO must confirm the match before your STEM OPT application goes to USCIS.
Confirm E-Verify enrollment before accepting offers
Ask the recruiter for the company's E-Verify employer identification number before signing anything. Any employer not enrolled in E-Verify legally cannot employ you on a STEM OPT extension, regardless of how enthusiastic they are about hiring you.
Target AI roles at E-Verify registered companies using Migrate Mate
Search AI Engineer positions on Migrate Mate, which filters for employers already enrolled in E-Verify. This cuts the time you'd otherwise spend vetting each company individually before deciding whether to apply.
Negotiate your I-983 training plan scope early
Your I-983 must show how the AI Engineer role provides practical training in your STEM field. Bring a draft to the offer stage and ask the hiring manager to confirm the job duties align with it, revisions after you start can delay your extension.
Check prevailing wage before evaluating offers
Use the OFLC Wage Search to look up the prevailing wage for AI Engineer roles under the relevant SOC code in your metro area. Your offer should meet or exceed this figure, since employers will certify wage compliance if they later sponsor your H-1B visa.
Apply 90 days before your OPT end date
USCIS requires your STEM OPT extension application to be filed while your initial OPT is still valid. Missing the 90-day filing window means losing work authorization continuity, so sync your application timeline with your DSO well in advance.
Frequently Asked Questions
Does an AI Engineer role qualify for the STEM OPT extension?
Yes, AI Engineer positions typically qualify because they require applied knowledge in computer science, machine learning, or a related STEM discipline. Your degree's CIP code on your I-20 must correspond to a STEM-designated field as recognized by the Department of Homeland Security. Your DSO can confirm whether your specific degree and job offer meet the criteria before you apply.
How do I verify that an AI Engineer employer is enrolled in E-Verify?
Ask the employer directly for their E-Verify employer identification number or request confirmation from HR before accepting an offer. E-Verify enrollment is a federal requirement for all STEM OPT employers, not optional. You can also search the E-Verify employer search tool by company name to confirm enrollment status. If a company isn't enrolled, they can't legally employ you on a STEM OPT extension.
What goes into an I-983 training plan for an AI Engineer role?
Your I-983 must describe how the AI Engineer position provides structured practical training in your STEM field, including the specific skills you'll develop, the supervision you'll receive, and how the role relates to your degree. AI-specific duties like model development, data pipeline engineering, or MLOps implementation all support a strong training plan. Both you and your employer sign the form, and your DSO must approve it before USCIS will process your extension.
What happens to my work authorization if my H-1B is selected in the lottery during my STEM OPT period?
If your H-1B is selected and your employer files a timely change-of-status petition, cap-gap protection extends your STEM OPT work authorization through September 30 of that year, even if your EAD expires before then. You can continue working for the same employer during this period. USCIS requires your OPT to be valid at the time of the H-1B filing for cap-gap to apply.
Where can I find AI Engineer jobs that accept STEM OPT students?
Migrate Mate lists AI Engineer roles at employers already enrolled in E-Verify, so you're not spending time applying to companies that can't legally hire you on a STEM OPT extension. You can filter by role type and authorization requirements to surface positions where your F-1 status is a workable fit from the start of the application process.