Green Card Applied Scientist Jobs
Applied Scientist roles sit squarely within EB-2 and EB-3 eligibility, making them strong candidates for employer-sponsored green card sponsorship through the PERM labor certification process. Employers file the I-140 immigrant petition after PERM approval, and your priority date determines when you can adjust status to permanent residency.
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Amazon Robotics is seeking an exceptional Applied Scientist to join our Foundation Models and Agentic AI team. This role presents an opportunity to shape the future of robotics through innovative applications of large vision-language-action (VLA) models, reasoning and task planning models, and reinforcement learning.
At Amazon Robotics, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.
We are pioneering the development of robotics foundation models that:
- Enable unprecedented generalization across diverse tasks
- Integrate multi-modal learning capabilities (visual, depth, force, tactile, linguistic)
- Accelerate policy skill acquisition through imitation learning and reinforcement learning
- Enhance robotic perception and environmental understanding
- Streamline development processes through reusable capabilities
The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.
Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.
Key job responsibilities
As an Applied Scientist in the Applied AI and Robotics Foundations Model team, you will:
- Model Development and Training: Designing and implementing the model architectures, training and fine tuning the foundation models using various datasets, and optimize the model performance through iterative experiments
- Data Management: Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines.
- Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance.
- Code Development: Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs
- Research: Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.
- Collaboration: Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of enthusiastic doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
BASIC QUALIFICATIONS
- Currently has, or is in the process of obtaining, a PhD in computer science, machine learning, engineering, or related fields
- Have publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Master's degree
- Experience building machine learning models or developing algorithms for business application
PREFERRED QUALIFICATIONS
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
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. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually
DESCRIPTION
Amazon Robotics is seeking an exceptional Applied Scientist to join our Foundation Models and Agentic AI team. This role presents an opportunity to shape the future of robotics through innovative applications of large vision-language-action (VLA) models, reasoning and task planning models, and reinforcement learning.
At Amazon Robotics, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.
We are pioneering the development of robotics foundation models that:
- Enable unprecedented generalization across diverse tasks
- Integrate multi-modal learning capabilities (visual, depth, force, tactile, linguistic)
- Accelerate policy skill acquisition through imitation learning and reinforcement learning
- Enhance robotic perception and environmental understanding
- Streamline development processes through reusable capabilities
The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment.
Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.
Key job responsibilities
As an Applied Scientist in the Applied AI and Robotics Foundations Model team, you will:
- Model Development and Training: Designing and implementing the model architectures, training and fine tuning the foundation models using various datasets, and optimize the model performance through iterative experiments
- Data Management: Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines.
- Experimentation and Validation: Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance.
- Code Development: Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs
- Research: Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.
- Collaboration: Work closely with senior scientists, engineers, and leaders across multiple teams, participate in knowledge sharing, support integration efforts with robotics hardware teams, and help document best practices and methodologies.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of enthusiastic doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
BASIC QUALIFICATIONS
- Currently has, or is in the process of obtaining, a PhD in computer science, machine learning, engineering, or related fields
- Have publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Master's degree
- Experience building machine learning models or developing algorithms for business application
PREFERRED QUALIFICATIONS
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
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. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually
See all 933+ Green Card Applied Scientist Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as an Applied Scientist
Document your research output before applying
Compile publications, patents, models deployed at scale, and citations into a credential file before your first interview. PERM and I-140 filings require employers to substantiate why your background meets the role's minimum requirements, and gaps slow the process.
Target employers with active PERM filing histories
Companies that have filed PERM applications for Applied Scientist roles already understand the DOL recruitment and prevailing-wage obligations. Use Migrate Mate to filter for employers with verified green card sponsorship activity specific to this occupation.
Clarify the EB category before accepting an offer
EB-2 requires a master's degree or equivalent, while EB-3 covers bachelor's-level professionals. If your U.S. employer files under EB-3 when EB-2 fits your credentials, you could face a longer priority date queue depending on your country of birth.
Verify the role qualifies as a specialty occupation
The DOL evaluates whether the Applied Scientist duties genuinely require an advanced degree in a specific field. Pull the O*NET profile for the occupation and confirm the job description aligns with the specialty-occupation definition before PERM is filed.
Request the prevailing wage determination tier early
PERM requires the employer to pay at least the DOL prevailing wage for your location and job zone. Ask your employer which wage level they plan to submit and cross-check it against the OFLC Wage Search to avoid a mismatch that triggers an audit.
Understand concurrent filing if your priority date is current
If your country of birth and EB category allow it, USCIS permits concurrent filing of the I-140 and I-485 once a visa number is immediately available. This can compress the green card timeline significantly compared to waiting for sequential approvals.
Green Card Applied Scientist: Frequently Asked Questions
Does an Applied Scientist role qualify for EB-2 or EB-3 green card sponsorship?
Applied Scientist positions typically qualify for EB-2 when the role requires a master's degree or higher in a field like computer science, statistics, or a related discipline. Roles requiring only a bachelor's degree can qualify under EB-3 as a skilled worker. Your employer's job description and the DOL's occupational classification both factor into which category USCIS accepts.
How does PERM green card sponsorship differ from H-1B sponsorship for an Applied Scientist?
H-1B visa is a temporary work visa with a three-year initial period, a lottery for most applicants, and no path to permanent residency on its own. PERM-based EB-2 or EB-3 sponsorship is a permanent residency process with no annual cap at the petition stage, though visa number availability by country of birth affects how quickly you can file for adjustment of status. The PERM process also requires the employer to conduct a formal recruitment test and obtain a prevailing-wage determination from the DOL before filing.
How long does the green card process take for an Applied Scientist sponsored by a U.S. employer?
The PERM labor certification stage alone currently averages well over a year at the DOL analyst review queue. After PERM approval, I-140 processing at USCIS adds several more months unless the employer uses premium processing. For applicants born in countries with backlogged priority dates, the wait for an available visa number can extend the total timeline by years.
Where can I find Applied Scientist jobs where the employer will sponsor a green card?
Most job postings don't specify PERM sponsorship willingness upfront. Migrate Mate surfaces roles where employers have a documented history of filing green card petitions for Applied Scientist and related positions, so you can focus your search on companies that have already navigated the PERM process rather than negotiating sponsorship from scratch.
Can my employer start PERM sponsorship while I'm on an H-1B or OPT?
Yes. PERM is an employer-driven process independent of your current work authorization status. Employers can initiate the DOL prevailing-wage determination and recruitment steps while you're on H-1B, OPT, or another work-authorized status. Starting early matters because the PERM and I-140 stages can take two or more years before you reach adjustment of status.