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 Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Product Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.
The Search Relevance team focuses on several technical areas for improving search quality. In this role, you will invent universally applicable signals and algorithms for training machine-learned ranking models. The relevance improvements you make will help millions of customers discover the products they want from a catalog containing millions of products. You will work on problems such as predicting the popularity of new products, developing new ranking features and algorithms that capture unique characteristics, and analyzing the differences in behavior of different categories of customers. The work will span the whole development pipeline, including data analysis, prototyping, A/B testing, and creating production-level components.
Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world’s leading Internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.
Key job responsibilities
Your responsibilities include but not limited to:
- Analyze the data and metrics resulting from traffic into Amazon's product search service.
- Design, build, and deploy effective and innovative ML solutions to improve search ranking.
- Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
- Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
LOCATION
USA, CA, Irvine - 142,800.00 - 193,200.00 USD annually
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
The Amazon Search team creates customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Product Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide.
The Search Relevance team focuses on several technical areas for improving search quality. In this role, you will invent universally applicable signals and algorithms for training machine-learned ranking models. The relevance improvements you make will help millions of customers discover the products they want from a catalog containing millions of products. You will work on problems such as predicting the popularity of new products, developing new ranking features and algorithms that capture unique characteristics, and analyzing the differences in behavior of different categories of customers. The work will span the whole development pipeline, including data analysis, prototyping, A/B testing, and creating production-level components.
Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world’s leading Internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.
Key job responsibilities
Your responsibilities include but not limited to:
- Analyze the data and metrics resulting from traffic into Amazon's product search service.
- Design, build, and deploy effective and innovative ML solutions to improve search ranking.
- Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
- Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
LOCATION
USA, CA, Irvine - 142,800.00 - 193,200.00 USD annually
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
See all 280+ 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.