E-3 Visa AI ML Engineering Jobs
AI ML Engineering roles in the U.S. qualify as E-3 visa specialty occupations, making them a strong fit for Australian professionals seeking sponsorship. The E-3 has no lottery and no annual cap, so you can apply as soon as you have a qualifying offer from a U.S. employer willing to file a Labor Condition Application.
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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 784+ E-3 Visa AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI ML Engineering Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in AI ML Engineering
Frame your credentials for U.S. specialty occupation
Your Australian three-year bachelor's degree in computer science, data science, or a related field satisfies the E-3 degree requirement. Get a credential evaluation before you apply so employers aren't left guessing about equivalency.
Target employers with active LCA filing history
Search DOL's FLAG portal for companies that have filed Labor Condition Applications for AI or ML job titles. Prior LCA filings signal that a hiring team already understands the E-3 process and won't stall at the sponsorship conversation.
Raise E-3 sponsorship early in final-round interviews
Many U.S. tech hiring managers confuse E-3 with H-1B visa and assume a lottery is involved. Clarify that E-3 requires only an LCA and a consulate appointment, with no cap or lottery, before you reach the offer stage.
Ensure your job description matches your degree field
For AI ML Engineering roles, the position must require a relevant technical degree, not just 'a bachelor's in any field.' If the job description is vague, ask HR to revise it before the LCA is filed to avoid a DOL denial.
Use Migrate Mate's E-3 filing service to manage your LCA
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This is especially useful when your employer's legal team has no prior E-3 experience and needs a structured process.
Book your consulate appointment before resigning overseas
E-3 visas are issued at Australian consulates, not through USCIS. Check current appointment availability at Sydney, Melbourne, or Perth before giving notice at your current job, since wait times vary by location and season.
E-3 Visa AI ML Engineering: Frequently Asked Questions
How do I find AI ML Engineering jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters roles by E-3 sponsorship eligibility and surfaces employers with a history of filing Labor Condition Applications for technical positions. Searching general job boards for 'visa sponsorship' rarely filters for E-3 specifically, so you end up reviewing roles that only accommodate H-1B candidates.
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 AI ML Engineering qualify as an E-3 specialty occupation?
Yes, provided the role requires a bachelor's degree or higher in a directly related field such as computer science, machine learning, data science, or software engineering. Roles framed as 'nice to have a degree' rather than 'degree required' can fail the specialty occupation test, so the job description wording matters before your employer files the LCA with DOL.
How does the E-3 compare to the H-1B for AI ML Engineering roles?
For Australian nationals, the E-3 is significantly more practical for AI ML Engineering. There's no lottery, no annual cap, and no registration window to miss. The H-1B requires entering a randomized lottery with roughly a 25% selection rate, meaning you could go unselected for multiple years. E-3 applications are processed at the consulate and can be completed in weeks once the LCA is certified.
Can I switch AI ML Engineering employers while on an E-3 visa?
Yes, but you need a new LCA and a new visa stamp or change of status approval before you start with the new employer. You can't simply port your E-3 the way some H-1B holders port under portability rules. If you're already in the U.S., your new employer files a fresh LCA with DOL, and you either return to Australia for a new stamp or file a change of status with USCIS.