E-3 Visa Applied Scientist Jobs
Applied Scientist roles qualify as E-3 specialty occupations when the position requires a degree in computer science, statistics, machine learning, or a related quantitative field. Australian nationals can secure E-3 visa sponsorship without entering a lottery, with renewals available indefinitely as long as you hold a qualifying offer.
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At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our mission is to prevent denied entities from transacting with Amazon businesses. We build automatic mechanisms to detect and prevent prohibited transactions with denied entities using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day and develop algorithms which are able to scale and detect suspicious entities. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come.
We are seeking an Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers, data scientists, and domain experts, you will play a crucial role in defining innovative ML/AI-powered customer experiences and solutions. If you have an entrepreneurial mindset, the technical depth to deliver impactful results, and a passion for innovation, we want to hear from you.
Key job responsibilities
In this role, you will:
- Drive the research, design, and development of novel ML/AI models and systems to power critical products and services
- Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints
- Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback
- Communicate complex technical concepts to technical and non-technical stakeholders
- Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques
A day in the life
- Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
- Brainstorming new architectures and approaches with your cross-functional team during a whiteboard session
- Diving deep into a complex dataset, leveraging advanced statistical and AI techniques to uncover hidden insights
- Prototyping a new model and running a series of experiments to optimize its performance
- Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
- Mentoring junior scientists, providing guidance on coding best practices and problem-solving strategies
About the team
Why Amazon Security
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
Compensation Range
142,800.00 - 193,200.00 USD annually
DESCRIPTION
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our mission is to prevent denied entities from transacting with Amazon businesses. We build automatic mechanisms to detect and prevent prohibited transactions with denied entities using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day and develop algorithms which are able to scale and detect suspicious entities. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come.
We are seeking an Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers, data scientists, and domain experts, you will play a crucial role in defining innovative ML/AI-powered customer experiences and solutions. If you have an entrepreneurial mindset, the technical depth to deliver impactful results, and a passion for innovation, we want to hear from you.
Key job responsibilities
In this role, you will:
- Drive the research, design, and development of novel ML/AI models and systems to power critical products and services
- Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints
- Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback
- Communicate complex technical concepts to technical and non-technical stakeholders
- Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques
A day in the life
- Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
- Brainstorming new architectures and approaches with your cross-functional team during a whiteboard session
- Diving deep into a complex dataset, leveraging advanced statistical and AI techniques to uncover hidden insights
- Prototyping a new model and running a series of experiments to optimize its performance
- Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
- Mentoring junior scientists, providing guidance on coding best practices and problem-solving strategies
About the team
Why Amazon Security
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
Compensation Range
142,800.00 - 193,200.00 USD annually
See all 610+ E-3 Visa Applied Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Applied Scientist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an Applied Scientist
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 visa purposes. Get a credential evaluation from a NACES-approved evaluator before your first interview so you're ready when employers ask.
Target employers with active DOL filing histories
Search the DOL's Office of Foreign Labor Certification disclosure data to identify companies that have filed Labor Condition Applications for Applied Scientist or Machine Learning Engineer roles. These employers already understand the E-3 process and won't need educating.
Find E-3 sponsoring employers on Migrate Mate
Use Migrate Mate's E-3 filing service to surface companies actively sponsoring Applied Scientist roles and handle your LCA and visa paperwork end-to-end, from offer letter to consulate appointment.
Clarify the specialty occupation case early
Applied Scientist roles are strong E-3 candidates, but job descriptions that list a degree as 'preferred' rather than 'required' can create issues at the consulate. Ask your employer to confirm the job description specifies a degree as a minimum requirement before the LCA is filed.
Understand your employer's LCA timeline before accepting
Your employer files the LCA with DOL before you can apply for the E-3 visa. Standard DOL certification takes around seven business days. Confirm your employer knows this step exists and has HR capacity to move quickly after you accept an offer.
Plan your consulate appointment around your start date
E-3 visas are issued at Australian consulates, not through USCIS. Sydney, Melbourne, and Perth each have different appointment wait times. Book your slot as soon as the LCA is certified so processing delays don't push back your U.S. start date.
E-3 Visa Applied Scientist: Frequently Asked Questions
How do I find Applied Scientist jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Applied Scientist roles where employers are already set up to sponsor E-3 visas. Many roles in machine learning, data science infrastructure, and research engineering qualify as specialty occupations under the E-3, but finding employers who understand the filing process is the real challenge. Migrate Mate filters for that specifically.
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.
Is the E-3 visa better than H-1B for Applied Scientist roles?
For Australian nationals, the E-3 is almost always the better path. There is no lottery, no annual cap pressure, and the application goes directly to a U.S. consulate in Australia rather than through USCIS. Applied Scientist roles qualify as specialty occupations under both visa types, but the E-3 lets you start the process after receiving an offer without waiting for a registration window in April.
Does my Applied Scientist role qualify as a specialty occupation for the E-3?
Applied Scientist roles that require a bachelor's degree or higher in computer science, statistics, applied mathematics, or a related quantitative field consistently qualify as specialty occupations. The key is that the degree requirement must be specific to the field, not general. Roles where any bachelor's degree is acceptable regardless of major are harder to support, so the job description wording matters.
Can I switch Applied Scientist employers while on an E-3 visa?
Yes, but each new employer must file a fresh LCA with DOL and you'll need a new E-3 visa stamp before re-entering the U.S. if you travel internationally. If you stay in the U.S. and don't travel, you can begin working for the new employer once the new LCA is certified and you have a valid offer, though the visa stamp from the prior employer will need to be updated at your next consular visit.