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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The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.
Key job responsibilities
Search Supply and Experiences, within Sponsored Products, is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model– and leveraging this knowledge to help turn the flywheel of the business.
As a Senior Applied Scientist on this team you will:
- Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.
- Lead technical efforts within this team and across other teams.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Work closely with software engineers to assist in productionizing your ML models.
- Research new machine learning approaches.
- Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.
A day in the life
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.
About the team
We are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
DESCRIPTION
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.
Key job responsibilities
Search Supply and Experiences, within Sponsored Products, is seeking a Senior Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model– and leveraging this knowledge to help turn the flywheel of the business.
As a Senior Applied Scientist on this team you will:
- Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects.
- Lead technical efforts within this team and across other teams.
- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Work closely with software engineers to assist in productionizing your ML models.
- Research new machine learning approaches.
- Recruit Applied Scientists to the team and act as a mentor to other scientists on the team.
A day in the life
The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.
About the team
We are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on Amazon.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
See all 770+ E-3 Visa Applied Scientist Jobs
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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.