Applied Scientist Jobs in USA with Visa Sponsorship
Applied Scientists combine advanced research with practical implementation, making them strong candidates for H-1B 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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This is currently a 12 month temporary contract opportunity with the possibility to extend to 24 months based on business needs.
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
A day in the life
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.
BASIC QUALIFICATIONS
- Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 3+ years of programming in Java, C++, Python or related language experience
- 8+ years of building machine learning models or developing algorithms for business application experience
PREFERRED QUALIFICATIONS
- Ph.D. in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Have publications at top-tier peer-reviewed conferences or journals
- 4+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
LOCATION
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
This is currently a 12 month temporary contract opportunity with the possibility to extend to 24 months based on business needs.
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
A day in the life
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.
BASIC QUALIFICATIONS
- Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field
- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience
- 3+ years of programming in Java, C++, Python or related language experience
- 8+ years of building machine learning models or developing algorithms for business application experience
PREFERRED QUALIFICATIONS
- Ph.D. in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Have publications at top-tier peer-reviewed conferences or journals
- 4+ years of solving business problems through machine learning, data mining and statistical algorithms experience
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
LOCATION
USA, MA, Boston - 136,000.00 - 184,000.00 USD annually
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually
How to Get 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.
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Get Access To All JobsFrequently 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 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.
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.
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