E-3 Visa ML Research Engineer Jobs
ML Research Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree or higher in computer science, machine learning, or a related field. The E-3 has no lottery and no annual cap, so Australian nationals can pursue sponsorship year-round without the H-1B visa registration window.
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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 795+ E-3 Visa ML Research Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa ML Research Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a ML Research Engineer
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree in computer science or engineering satisfies the E-3 visa specialty occupation requirement. Have your transcripts ready and confirm your degree field maps directly to the ML Research Engineer role description before applying.
Target research labs and AI teams at scale
Focus on employers with dedicated AI research divisions rather than generalist engineering teams. Companies running large-scale model training programs are already structured to file an LCA and manage the DOL certification process without treating it as unusual overhead.
Use Migrate Mate to find verified sponsoring employers
Search for ML Research Engineer roles with confirmed E-3 sponsorship history on Migrate Mate. Filtering by roles where employers have already filed LCAs for similar positions saves you from pursuing opportunities where sponsorship willingness is unclear from the outset.
Negotiate offer timing around LCA certification windows
Your employer must file the LCA with the DOL and receive certification before you can apply at the consulate. Build at least three to four weeks into your start date timeline after signing an offer to allow for DOL processing without delaying your consulate appointment.
Distinguish your research output from engineering roles
Consular officers assess whether your role genuinely requires specialized research credentials. Bring published papers, model documentation, or research project summaries that demonstrate your work goes beyond applied software engineering into original ML inquiry.
File through a structured service to avoid LCA errors
LCA filings that misclassify the prevailing wage level or job title for an ML Research Engineer role can delay or complicate your visa. Migrate Mate's E-3 filing service handles the LCA submission, wage determination, and consulate preparation end-to-end.
E-3 Visa ML Research Engineer: Frequently Asked Questions
How do I find ML Research Engineer jobs with E-3 visa sponsorship?
Search for ML Research Engineer roles directly on Migrate Mate, which surfaces positions from employers with E-3 sponsorship history. Filtering by role and visa type shows you companies that have already filed LCAs for similar positions, so you're not starting from scratch trying to assess each employer's willingness to sponsor an Australian national.
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 Research Engineer role qualify as a specialty occupation for the E-3?
Yes, ML Research Engineer positions qualify as specialty occupations under the E-3 because they require at least a bachelor's degree in a directly related field such as computer science, statistics, or electrical engineering. Roles involving original model development, algorithm research, or advanced neural network design have a strong record of LCA approval because the degree-to-job connection is well established with the DOL.
How does the E-3 compare to the H-1B for ML Research Engineer roles?
The E-3 is significantly more practical for Australian ML researchers than the H-1B. There's no annual lottery, no cap to worry about, and you can apply at the consulate within weeks of receiving a certified LCA. H-1B requires registration in March and a lottery selection that leaves most applicants waiting a year or longer before they can start. The E-3 lets you respond to offers on a normal hiring timeline.
Can I switch ML Research Engineer employers while on an E-3?
Yes, but the process restarts with the new employer. Your new employer must file a fresh LCA with the DOL and have it certified before you can apply for a new E-3 at the consulate or change status if you're already in the United States. There's no portability provision equivalent to the H-1B's 60-day rule, so plan your transition timing carefully to avoid a gap in authorized employment.