E-3 Visa ML Software Engineer Jobs
ML Software Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, machine learning, or a related field. The E-3 has no lottery and no annual cap, so Australian professionals can start the process as soon as they have a job offer.
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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 787+ E-3 Visa ML Software Engineer Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a ML Software Engineer
Translate your Australian degree credentials
U.S. employers and USCIS assess whether your Australian bachelor's degree maps to a U.S. equivalent in a relevant field. A three-year computer science degree from an Australian university is generally accepted, but having a credential evaluation letter ready speeds up the LCA and visa paperwork.
Target companies with active LCA filing history
Search the DOL's Foreign Labor Certification disclosure data to identify employers who have filed LCAs for ML or software engineering roles. Prior filings signal that the hiring team understands the E-3 visa process and won't stall at the sponsorship conversation.
Frame your ML specialization in the job offer letter
The E-3 requires a direct link between your degree and the role. Ask your employer to specify ML-related responsibilities in the offer letter, such as model development, training pipelines, or inference infrastructure, so the specialty occupation requirement is unambiguous in your visa application.
Start the LCA filing before your start date
Your employer must file a certified LCA with the DOL before you can apply for the E-3 at a U.S. consulate in Australia. The DOL targets seven business days for LCA certification, but you should factor this into your timeline when negotiating your start date with the employer.
Use Migrate Mate's E-3 filing service for the full process
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end, from DOL submission through consulate appointment preparation. This avoids the coordination gaps that typically delay ML engineering hires when legal responsibility is split between HR and outside counsel.
Clarify E-3 portability before accepting counter-offers
If you receive a competing offer while your E-3 is pending or active, each new employer must file a fresh LCA and you must obtain a new visa stamp for that employer. Negotiate your transition timeline with both parties before making a commitment so your status doesn't lapse between roles.
E-3 Visa ML Software Engineer: Frequently Asked Questions
How do I find ML Software Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3-eligible roles in the U.S. You can filter by job title, location, and sponsorship availability so you're only seeing employers who understand the E-3 process. Most general job search platforms mix visa statuses without filtering for E-3 specifically, which wastes significant time during outreach.
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 ML Software Engineer role qualify as a specialty occupation for the E-3?
Yes. ML Software Engineer roles consistently meet the specialty occupation standard because they require at minimum a bachelor's degree in computer science, machine learning, mathematics, or a closely related field. USCIS and the DOL assess the degree-to-role connection at the LCA stage, so your offer letter should explicitly describe ML-specific responsibilities rather than generic software development tasks.
How does the E-3 compare to the H-1B for ML Software Engineers?
The E-3 has no lottery and no annual numerical cap, so you can apply any time of year once you have a job offer. The H-1B visa is subject to an oversubscribed annual lottery, meaning most applicants wait years or are never selected. For Australian ML engineers with a qualifying offer, the E-3 provides a direct, predictable path that the H-1B cannot guarantee.
What happens to my E-3 status if I want to change employers in the U.S.?
The E-3 is employer-specific. If you change jobs, your new employer must file a fresh LCA with the DOL and you must obtain a new E-3 visa stamp at a U.S. consulate before starting work, or request a change of status if you're already in the U.S. There is no portability provision like AC21 that applies to the E-3, so plan the transition timeline carefully with both employers.