Green Card Audio Engineer Jobs
Audio Engineer jobs with green card sponsorship require employers to complete PERM labor certification with the Department of Labor before filing an I-140 petition with USCIS. Studios, broadcasters, and live-event companies that hire foreign audio professionals for permanent roles can sponsor EB-2 or EB-3 green cards, leading to lawful permanent residency.
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Get Access To All JobsSUMMARY
The MGCT Audio team is looking for a highly motivated and talented research and development machine learning engineer to develop models for speech and audio applications. The Media Graphics & Compute Technologies (MGCT) is at the center of Apple’s innovative products, including the Mac, iPhone, iPad, Apple Watch, Apple TV, macOS, iOS, watchOS and tvOS. AMT’s Core Audio team provides audio foundation for various high profile features like Siri, phone calls, Face Time, media capture, playback, and API’s for third party developers to enrich our platforms. The team is looking for talented engineers who are passionate about building audio software products for millions of customers and care about overall user experience. You will be revolutionizing and contributing to future audio technologies.
DESCRIPTION
As part of the audio team, you will:
- Develop machine learning model architectures for solving various problems in audio, including sound event detection, scene classification and context understanding.
- Train, fine tune and compress models for production.
- Contribute to the team’s workflows building pipelines, writing datasets, and creating evaluation frameworks.
- Participate in cross-functional teams developing features and shipping products.
- Create intellectual property in the form of patents and publications.
MINIMUM QUALIFICATIONS
- 4+ years experience in machine learning development, including audio and speech applications.
- Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
- Experience building machine learning pipelines.
- Experience optimizing and compressing machine learning models for resource constrained platforms.
- Excellent software architecture and programming skills in Python, C, C++.
- Knowledge of audio technologies.
- MS, in CS or EE, industry and research experience.
PREFERRED QUALIFICATIONS
- Familiarity and experience with multimodal large language models (LLMs).
- Demonstrated innovation in machine learning (patents, publications).
- Fundamentals of audio and speech signal processing.
- PhD, in CS or EE, Industry and research experience.
COMPENSATION
- Base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
The MGCT Audio team is looking for a highly motivated and talented research and development machine learning engineer to develop models for speech and audio applications. The Media Graphics & Compute Technologies (MGCT) is at the center of Apple’s innovative products, including the Mac, iPhone, iPad, Apple Watch, Apple TV, macOS, iOS, watchOS and tvOS. AMT’s Core Audio team provides audio foundation for various high profile features like Siri, phone calls, Face Time, media capture, playback, and API’s for third party developers to enrich our platforms. The team is looking for talented engineers who are passionate about building audio software products for millions of customers and care about overall user experience. You will be revolutionizing and contributing to future audio technologies.
DESCRIPTION
As part of the audio team, you will:
- Develop machine learning model architectures for solving various problems in audio, including sound event detection, scene classification and context understanding.
- Train, fine tune and compress models for production.
- Contribute to the team’s workflows building pipelines, writing datasets, and creating evaluation frameworks.
- Participate in cross-functional teams developing features and shipping products.
- Create intellectual property in the form of patents and publications.
MINIMUM QUALIFICATIONS
- 4+ years experience in machine learning development, including audio and speech applications.
- Practical and theoretical knowledge of machine learning architecture design and training/testing methodologies.
- Experience building machine learning pipelines.
- Experience optimizing and compressing machine learning models for resource constrained platforms.
- Excellent software architecture and programming skills in Python, C, C++.
- Knowledge of audio technologies.
- MS, in CS or EE, industry and research experience.
PREFERRED QUALIFICATIONS
- Familiarity and experience with multimodal large language models (LLMs).
- Demonstrated innovation in machine learning (patents, publications).
- Fundamentals of audio and speech signal processing.
- PhD, in CS or EE, Industry and research experience.
COMPENSATION
- Base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
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Get Access To All JobsTips for Finding Green Card Sponsorship as an Audio Engineer
Document your specialized audio credentials early
Gather transcripts, degree evaluations, and letters from past employers that detail your signal-chain expertise, mixing console experience, or acoustical engineering work. PERM requires proving your qualifications match the job's requirements before the recruitment test begins.
Target studios with dedicated HR infrastructure
Post-production houses, broadcast networks, and game audio departments are more likely to have immigration counsel on retainer than independent recording studios. Employers with established HR teams understand the PERM recruitment obligations and are less likely to abandon a sponsorship mid-process.
Search Migrate Mate for verified green card sponsors
Use Migrate Mate to find U.S. employers with confirmed EB-2 and EB-3 green card sponsorship history in audio and sound engineering roles, so you spend your time on companies already familiar with the PERM filing process.
Verify your role qualifies under O*NET
Check the O*NET profile for Audio and Video Technicians or Sound Engineering Technicians to confirm the occupation's education and experience benchmarks. PERM prevailing wages are tied to the SOC code OFLC assigns, which affects both your offer letter and the wage determination you'll need to match.
Clarify the EB-2 versus EB-3 path with your employer
If your audio role requires an advanced degree or you have a bachelor's plus five years of progressive experience, EB-2 may apply. EB-3 covers professionals with a bachelor's degree and skilled workers with two or more years of experience. The category affects your priority date and potential backlog wait.
Confirm the PERM wage before signing your offer
Use the OFLC Wage Search to look up the prevailing wage for your SOC code and work location before accepting an offer. PERM requires the employer to pay at or above that wage, and an offer below it will fail the DOL wage determination step, stalling your entire green card process.
Green Card Audio Engineer: Frequently Asked Questions
Can an Audio Engineer get a green card through employer sponsorship?
Yes. Audio Engineers can be sponsored for an EB-2 or EB-3 employment-based green card. The employer files a PERM labor certification with the Department of Labor to prove no qualified U.S. worker is available, then files an I-140 immigrant petition with USCIS. You pursue adjustment of status or consular processing to receive lawful permanent residency.
How is green card sponsorship different from H-1B sponsorship for audio roles?
H-1B visa is a temporary nonimmigrant status requiring renewal and tied to a specific employer, with no guarantee of permanence. Green card sponsorship through EB-2 or EB-3 leads to lawful permanent residency. The employer must complete PERM labor certification, a multi-step DOL recruitment test with no equivalent in the H-1B process. Priority date backlogs also apply to green cards for nationals of certain countries.
Which green card category applies to Audio Engineers, EB-2 or EB-3?
Most Audio Engineer positions qualify under EB-3 as professional or skilled worker roles. EB-3 professional requires a bachelor's degree; skilled worker requires at least two years of training or experience. EB-2 applies if the role requires an advanced degree or you hold a bachelor's plus five years of progressive experience in audio engineering or a closely related field.
Where can I find employers who sponsor green cards for Audio Engineer roles?
Migrate Mate lists U.S. employers with verified EB-2 and EB-3 green card sponsorship history, searchable by role and location. This saves time by focusing your search on studios, broadcasters, and production companies that have already demonstrated they understand and are willing to complete the PERM labor certification process.
What happens to my green card case if I change jobs during the process?
If your I-485 adjustment of status application has been pending for 180 days or more, AC21 job portability allows you to change to a new employer in the same or a similar occupation without abandoning your place in line. A priority date from an approved I-140 can also carry over to a new employer's petition, preserving your earlier filing date.