Applied Scientist Jobs in USA with Visa Sponsorship
Applied Scientists combine advanced research with practical implementation, making them strong candidates for H-1B visa and O-1 visa sponsorship. The role typically requires a PhD in computer science, machine learning, statistics, or related field, which easily satisfies specialty occupation requirements. Major tech companies regularly sponsor Applied Scientists, with approval rates generally high due to clear degree-to-role alignment.
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Advertising identity is one of the most challenging problems in modern machine learning. Amazon Advertising is looking for an Applied Scientist III to help solve it at global scale, applying advanced AI, graph neural networks, and probabilistic modeling to connect billions of identity signals across devices, publishers, and the open internet.
The Amazon Advertising Identity Platform (AIP) powers how advertisers recognize, reach, and measure audiences across the advertising ecosystem. As traditional identity signals become less available and consumer behavior spans an increasing number of devices and environments, we are investing in new scientific approaches to build a more accurate, scalable, and privacy conscious identity graph.
As a senior scientific leader, you will develop novel approaches to probabilistic identity resolution, graph neural networks (GNNs), representation learning, and large scale entity matching. You will combine deterministic identity signals from Amazon's owned and operated properties with signals from publishers, agencies, and third party identity providers to build accurate identity models across increasingly fragmented digital environments.
You will define scientific direction, design and evaluate new models, and partner closely with engineering and product teams to bring research into production. Your work will directly influence advertising addressability, audience reach, campaign measurement, and billions of dollars in advertising revenue.
The ideal candidate has deep expertise in applied machine learning, graph algorithms, and probabilistic modeling, with a demonstrated ability to translate scientific research into production systems. You should be comfortable operating in ambiguous problem spaces, challenging existing approaches, mentoring scientists, and influencing technical strategy across organizations.
This role offers the opportunity to shape the future of identity resolution at Amazon, advance the state of the art in applied machine learning, and deliver scientific innovations with measurable impact across the global advertising industry.
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
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
COMPENSATION
- Salary Range: 183,800.00 - 248,700.00 USD annually
DESCRIPTION
Advertising identity is one of the most challenging problems in modern machine learning. Amazon Advertising is looking for an Applied Scientist III to help solve it at global scale, applying advanced AI, graph neural networks, and probabilistic modeling to connect billions of identity signals across devices, publishers, and the open internet.
The Amazon Advertising Identity Platform (AIP) powers how advertisers recognize, reach, and measure audiences across the advertising ecosystem. As traditional identity signals become less available and consumer behavior spans an increasing number of devices and environments, we are investing in new scientific approaches to build a more accurate, scalable, and privacy conscious identity graph.
As a senior scientific leader, you will develop novel approaches to probabilistic identity resolution, graph neural networks (GNNs), representation learning, and large scale entity matching. You will combine deterministic identity signals from Amazon's owned and operated properties with signals from publishers, agencies, and third party identity providers to build accurate identity models across increasingly fragmented digital environments.
You will define scientific direction, design and evaluate new models, and partner closely with engineering and product teams to bring research into production. Your work will directly influence advertising addressability, audience reach, campaign measurement, and billions of dollars in advertising revenue.
The ideal candidate has deep expertise in applied machine learning, graph algorithms, and probabilistic modeling, with a demonstrated ability to translate scientific research into production systems. You should be comfortable operating in ambiguous problem spaces, challenging existing approaches, mentoring scientists, and influencing technical strategy across organizations.
This role offers the opportunity to shape the future of identity resolution at Amazon, advance the state of the art in applied machine learning, and deliver scientific innovations with measurable impact across the global advertising industry.
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
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
COMPENSATION
- Salary Range: 183,800.00 - 248,700.00 USD annually
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Get Access To All JobsTips for Finding Visa Sponsorship as an Applied Scientist
Emphasize your PhD and research publications
Applied Scientist roles strongly favor PhD holders. Highlight your dissertation research, peer-reviewed publications, and conference presentations to demonstrate the advanced knowledge that justifies H-1B specialty occupation requirements.
Target companies with established ML research divisions
Amazon, Google, Microsoft, and Meta regularly sponsor Applied Scientists. These companies understand the role's requirements and have streamlined visa processes for research-focused positions with clear business applications.
Document your track record of research-to-product translation
Applied Scientists bridge research and implementation. Showcase projects where your research led to deployed systems, improved algorithms, or measurable business impact to strengthen your visa petition.
Consider the O-1 visa if you have exceptional research credentials
If you have significant publications, citations, conference awards, or recognition in AI/ML research, the O-1 extraordinary ability visa offers advantages over H-1B including no lottery and faster processing.
Prepare for technical interviews that demonstrate specialized knowledge
Visa interviews may include questions about your research methodology and how it applies to the role. Be ready to explain complex algorithms and statistical methods in accessible terms.
Highlight interdisciplinary expertise in your petition
Applied Scientists often work across domains like computer vision, NLP, or robotics. Document how your cross-disciplinary knowledge creates unique value that requires specialized H-1B talent rather than general programmers.
Frequently Asked Questions
What degree do I need for Applied Scientist H-1B sponsorship?
Most Applied Scientist positions require a PhD in computer science, machine learning, statistics, mathematics, or closely related field. Some roles accept a Master's with extensive research experience, but PhD holders have significantly stronger H-1B visa petitions due to the advanced specialization required for research-to-product development.
Which companies sponsor Applied Scientists for visas?
Major tech companies including Amazon, Google, Microsoft, Meta, Apple, and Netflix regularly sponsor Applied Scientists. Research-focused startups and companies in autonomous vehicles, healthcare AI, and fintech also sponsor, though they may have less experience with the visa process than established tech giants.
How do Applied Scientist H-1B approval rates compare to other roles?
Applied Scientist positions generally have high H-1B approval rates due to clear specialty occupation requirements. The PhD requirement and specialized research knowledge make it easy to demonstrate that the role requires theoretical and practical application of highly specialized knowledge in computer science or mathematics.
How to find Applied Scientist jobs with visa sponsorship?
To find Applied Scientist positions with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on tech companies, research institutions, and AI startups that commonly hire Applied Scientists on H-1B, O-1 visa, or EB-2 visas. These roles are in high demand at companies developing machine learning, data science, and research products.
Can I get sponsored as an Applied Scientist with only industry experience?
While possible, it's challenging without advanced degrees. USCIS typically expects Applied Scientists to have PhD-level research training. If you only have industry experience, you'd need to demonstrate extraordinary depth in machine learning research, publications, or patents that substitute for formal academic credentials.
Should I apply for O-1 instead of H-1B as an Applied Scientist?
Consider O-1 if you have exceptional research credentials like high-impact publications, significant citations, conference awards, or recognition as a leading researcher in AI/ML. O-1 has no lottery, faster processing, and allows more flexibility, but requires demonstrating extraordinary ability rather than just specialty occupation requirements.
What is the prevailing wage requirement for sponsored Applied Scientist jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.