E-3 Visa AI ML Engineer Jobs
AI ML Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, data science, or a related field. The E-3 has no lottery and no annual cap, so you can apply any time you have a qualifying offer from a U.S. employer.
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Get Access To All JobsAt Apple, new ideas have a way of quickly becoming extraordinary products, services and customer experiences. Sound is an essential and compelling facet of the customer experience. Apple has assembled a world-class Acoustics team that enables our customers to experience music with delight, communicate with clarity and appreciate our products without disturbance from noise. In Apple Acoustics we work with obsessive attention to detail, directly contributing to products that ship to millions of people around the world.
The Audio System Tuning team is looking for an Acoustics ML and DSP Engineer to innovate on and improve the voice processing features and algorithms in Apple devices. This is an applied, product-focused role. You will develop, tune and ship ML and DSP algorithms for the voice audio front end across iOS, macOS and wireless products. Your work will keep phone and video calls clear and natural for everyone on the call, and make Siri and voice recognition reliable in real-world conditions. In this fast-paced, hands-on role, you will take algorithms from prototype through on-device testing into production, where they reach millions of customers. We’re looking for someone who enjoys turning new ideas into real product improvements, and who thrives while balancing several projects at once.
Description
As an Acoustics ML and DSP Engineer, you will develop new speech enhancement algorithms that combine machine learning and DSP, and take them from prototype to production on Apple devices. You will use and extend existing large-scale data preprocessing, simulation and cloud training pipelines, building new ones where needed. You will tune, optimize and listen to algorithms, and debug issues by tracing them to the data, the model or the signal chain. Your work will improve voice quality and intelligibility for telephony and voice calls in challenging conditions such as echo, double talk and noisy environments, and you will measure the effect of front-end processing on telephony quality and machine listening applications. You will also follow the state of the art in speech processing and adjacent fields, and work cross-functionally with tuning, DSP and audio ML colleagues within the team and with partners across the hardware and software organizations.
Minimum Qualifications
MS with 3+ years of relevant experience, or PhD, in Acoustics, Audio, Electrical Engineering, Computer Science or a related field.
Solid grasp of acoustics and signal processing fundamentals.
Experience shipping audio or speech enhancement ML algorithms from prototype to production.
Proficiency with PyTorch and Python, including version control, testing and reproducible experiments.
Working knowledge of Max/MSP for real-time audio prototyping.
Experience with causal, streaming models under real-time latency and compute constraints.
Experience using, and where needed building, large-scale data and cloud training pipelines, including preprocessing and data simulation.
Working knowledge of speech quality evaluation: objective metrics, telephony quality and echo performance measures, and subjective listening tests.
Understanding of the state of the art in speech processing and adjacent fields.
Enthusiasm for exploring and testing new ideas, with the ability to prioritize and deliver across several projects in parallel in a fast-paced environment.
Team player with strong written and verbal communication, and the ability to work in cross-functional teams.
Preferred Qualifications
Experience with audio DSP, such as echo and double-talk handling, microphone array processing, beam-forming, dynamics processing, EQ and noise suppression.
Experience with hybrid systems that combine classical signal processing and machine learning.
Familiarity with telephony voice quality requirements.
Knowledge of front-end processing for speech recognition and machine listening.
Experience with multi-modal machine learning.
Strong coding and debugging skills (Python and C/C++), plus MATLAB for analysis.
Knowledge of transducers and their acoustic integration.
Curious and eager to try new ideas quickly, while keeping multiple product programs on track.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,700 and $249,500, 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. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
At Apple, new ideas have a way of quickly becoming extraordinary products, services and customer experiences. Sound is an essential and compelling facet of the customer experience. Apple has assembled a world-class Acoustics team that enables our customers to experience music with delight, communicate with clarity and appreciate our products without disturbance from noise. In Apple Acoustics we work with obsessive attention to detail, directly contributing to products that ship to millions of people around the world.
The Audio System Tuning team is looking for an Acoustics ML and DSP Engineer to innovate on and improve the voice processing features and algorithms in Apple devices. This is an applied, product-focused role. You will develop, tune and ship ML and DSP algorithms for the voice audio front end across iOS, macOS and wireless products. Your work will keep phone and video calls clear and natural for everyone on the call, and make Siri and voice recognition reliable in real-world conditions. In this fast-paced, hands-on role, you will take algorithms from prototype through on-device testing into production, where they reach millions of customers. We’re looking for someone who enjoys turning new ideas into real product improvements, and who thrives while balancing several projects at once.
Description
As an Acoustics ML and DSP Engineer, you will develop new speech enhancement algorithms that combine machine learning and DSP, and take them from prototype to production on Apple devices. You will use and extend existing large-scale data preprocessing, simulation and cloud training pipelines, building new ones where needed. You will tune, optimize and listen to algorithms, and debug issues by tracing them to the data, the model or the signal chain. Your work will improve voice quality and intelligibility for telephony and voice calls in challenging conditions such as echo, double talk and noisy environments, and you will measure the effect of front-end processing on telephony quality and machine listening applications. You will also follow the state of the art in speech processing and adjacent fields, and work cross-functionally with tuning, DSP and audio ML colleagues within the team and with partners across the hardware and software organizations.
Minimum Qualifications
MS with 3+ years of relevant experience, or PhD, in Acoustics, Audio, Electrical Engineering, Computer Science or a related field.
Solid grasp of acoustics and signal processing fundamentals.
Experience shipping audio or speech enhancement ML algorithms from prototype to production.
Proficiency with PyTorch and Python, including version control, testing and reproducible experiments.
Working knowledge of Max/MSP for real-time audio prototyping.
Experience with causal, streaming models under real-time latency and compute constraints.
Experience using, and where needed building, large-scale data and cloud training pipelines, including preprocessing and data simulation.
Working knowledge of speech quality evaluation: objective metrics, telephony quality and echo performance measures, and subjective listening tests.
Understanding of the state of the art in speech processing and adjacent fields.
Enthusiasm for exploring and testing new ideas, with the ability to prioritize and deliver across several projects in parallel in a fast-paced environment.
Team player with strong written and verbal communication, and the ability to work in cross-functional teams.
Preferred Qualifications
Experience with audio DSP, such as echo and double-talk handling, microphone array processing, beam-forming, dynamics processing, EQ and noise suppression.
Experience with hybrid systems that combine classical signal processing and machine learning.
Familiarity with telephony voice quality requirements.
Knowledge of front-end processing for speech recognition and machine listening.
Experience with multi-modal machine learning.
Strong coding and debugging skills (Python and C/C++), plus MATLAB for analysis.
Knowledge of transducers and their acoustic integration.
Curious and eager to try new ideas quickly, while keeping multiple product programs on track.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,700 and $249,500, 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. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 877+ E-3 Visa AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI ML Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI ML Engineer
Align your degree to the role
U.S. consular officers assess whether your degree field matches the job. A computer science or data science degree maps cleanly to AI ML Engineer roles, but a general IT or engineering degree may require supporting documentation showing relevant coursework or specialization.
Target employers with LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data to identify companies that have previously filed Labor Condition Applications for ML or data science roles. These employers already understand the E-3 visa process and are less likely to stall on sponsorship.
Clarify sponsorship early in interviews
Many U.S. tech hiring managers confuse the E-3 with the H-1B lottery. During interviews, explain that the E-3 requires no lottery, has a 10,500 annual allocation that has never been exhausted, and takes weeks, not months, to obtain.
Get your transcript evaluated before applying
Australian three-year bachelor's degrees are generally accepted for E-3 specialty occupation purposes, but having a credential evaluation ready before you apply removes a common employer objection and speeds up the LCA filing stage.
Use Migrate Mate's E-3 filing service for the paperwork
Once you have an offer, Migrate Mate's E-3 filing service handles the LCA submission to DOL, visa application preparation, and consulate appointment readiness, so your employer doesn't need to engage a separate immigration attorney.
Time your application around consulate availability
E-3 visas are issued at Australian consulates in Sydney, Melbourne, and Perth. Appointment wait times vary by location and season. Confirm your preferred consulate's current availability before accepting a start date with your employer.
E-3 Visa AI ML Engineer: Frequently Asked Questions
How do I find AI ML Engineer jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search AI ML Engineer roles filtered by E-3 visa sponsorship. Most general job boards don't distinguish between visa types, so you can spend hours applying to roles where sponsorship isn't available. Migrate Mate surfaces employers who have demonstrated willingness to sponsor E-3 applicants, saving you time at the targeting stage.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an AI ML Engineer role qualify as a specialty occupation for the E-3?
Yes. AI ML Engineer roles require at least a bachelor's degree in computer science, data science, mathematics, or a closely related field, which meets the DOL and USCIS specialty occupation standard. The key is that your degree field must align with the specific role. A general business or unrelated engineering degree may not be sufficient without supporting documentation showing relevant technical coursework.
How does the E-3 compare to the H-1B for AI ML Engineer roles?
For Australian nationals, the E-3 is significantly more practical than the H-1B. The H-1B has an annual cap of 85,000 with a heavily oversubscribed lottery, meaning you could wait years before getting selected. The E-3 has a 10,500 annual cap that has never been fully used, no lottery, and can be applied for at any time of year once you have a qualifying job offer.
Can I switch AI ML Engineer employers on an E-3 visa?
Yes, but each employer change requires a new E-3 process. Your new employer must file a fresh Labor Condition Application with the DOL, and you'll need to either apply for a new E-3 visa at an Australian consulate or, in some cases, change status from within the U.S. There's no portability provision like some other visa categories, so plan your transition timeline carefully.