H-1B Visa Audio Engineer Jobs
Audio Engineer jobs at H-1B visa sponsoring employers require a bachelor's degree in audio engineering, sound design, acoustics, or a closely related field to qualify as a specialty occupation. Sponsoring employers file a Labor Condition Application with DOL and an I-129 petition with USCIS, covering up to three years of status with extensions to six.
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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 H-1B Visa Sponsorship as an Audio Engineer
Frame your degree for specialty occupation
USCIS evaluates whether your role requires a specific bachelor's degree, not just any degree. Document how your audio engineering coursework directly maps to your job duties, covering acoustics, signal processing, or sound design rather than general technical training.
Look up prevailing wages before negotiating
Your employer's LCA must certify wages at or above the DOL prevailing wage for your location and role. Run an OFLC Wage Search using SOC code 27-4014 to know the wage tier your employer must meet before you receive an offer.
Target studios with multi-site production operations
Broadcast networks, game studios, and post-production houses regularly sponsor H-1B engineers across multiple facilities. Each worksite requires its own certified LCA, so employers already running multi-location productions are experienced with that filing requirement and less likely to hesitate.
Search verified H-1B sponsors on Migrate Mate
Find audio engineering roles at employers with confirmed H-1B filing history by searching Migrate Mate. This narrows your outreach to companies that have already navigated the sponsorship process, cutting time spent on employers who decline at the offer stage.
Clarify worksite details before your LCA is filed
If your role involves on-site recording at venues, studios, or broadcast facilities not listed in the original LCA, your employer must file a new certified LCA for each location before you work there. Confirm worksite plans with your employer and HR before the petition is submitted.
Use O*NET to anchor your specialty occupation case
Pull the O*NET profile for audio and video equipment technicians or sound engineering technicians to identify the degree requirements and core tasks tied to the occupation. Use this language in your support letter to reinforce the specialty occupation argument to USCIS.
H-1B Visa Audio Engineer: Frequently Asked Questions
Does an Audio Engineer role qualify as a specialty occupation for H-1B purposes?
Audio engineering roles that require a bachelor's degree in audio engineering, acoustics, electrical engineering, or sound design typically qualify as specialty occupations under H-1B rules. The key is that the position must genuinely require degree-level theoretical and practical knowledge. Employers strengthen the case by documenting how the specific duties, such as acoustic analysis, digital signal processing, or broadcast systems design, demand that specific educational background.
Which types of employers most commonly sponsor H-1B visas for Audio Engineers?
Broadcast networks, film and television post-production studios, video game developers, streaming platforms, and large live entertainment companies are the most active H-1B sponsors for audio engineers. These employers operate at a scale and technical complexity that justifies degree-level hires and have established HR processes for sponsorship. You can browse verified sponsoring employers directly on Migrate Mate before you apply.
What happens if my Audio Engineer role requires me to work at different venues or studios?
Every worksite where you perform H-1B work must be covered by a certified Labor Condition Application filed with DOL. If your role involves recording sessions, live sound, or mixing at locations not listed on your original LCA, your employer must file a new LCA for each additional worksite before you begin work there. Short-term placements have limited exceptions, but permanent or recurring off-site work always requires a separate certified LCA.
How long does H-1B status last for an Audio Engineer, and can it be extended?
H-1B status is initially granted for up to three years and can be extended for an additional three years, reaching a six-year maximum under standard rules. Extensions beyond six years are possible only if your employer has filed a PERM labor certification or an immigrant visa petition on your behalf and specific milestones have been reached. USCIS governs all extension filings, and your employer must file each extension before your current status expires.
What documents should I prepare to support an H-1B petition for an Audio Engineer position?
You'll need official transcripts and your diploma showing a degree in a directly related field such as audio engineering, sound design, acoustics, or electrical engineering. If your degree title is not an exact match, a credential evaluation from a NACES-member organization can help establish equivalency. Your employer will also need a detailed job duties letter explaining how the role requires that specific degree, which is central to the specialty occupation argument USCIS evaluates.