Distribution & Wholesale F-1 STEM OPT Sponsorship Jobs in Massachusetts
Massachusetts distribution and wholesale employers, including major logistics hubs in Boston, Worcester, and Springfield, hire for supply chain, operations, and data analytics roles that commonly qualify for F-1 STEM OPT sponsorship. Companies like Amazon, XPO Logistics, and regional wholesale distributors have active OPT hiring programs across the state's dense logistics corridor.
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Get Access To All JobsDESCRIPTION
We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research.
As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will:
- Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems.
- Work in an agile, startup-like development environment, where you are always working on the most important stuff.
- Deliver high-quality scientific artifacts.
About the team
We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU).
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
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
- Demonstrated research experience in top ML conferences
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, MA, Boston
COMPENSATION
- Salary Range: 167,100.00 - 226,100.00 USD annually
DESCRIPTION
We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research.
As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will:
- Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems.
- Work in an agile, startup-like development environment, where you are always working on the most important stuff.
- Deliver high-quality scientific artifacts.
About the team
We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU).
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
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
- Demonstrated research experience in top ML conferences
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, MA, Boston
COMPENSATION
- Salary Range: 167,100.00 - 226,100.00 USD annually
Distribution & Wholesale Job Roles in Massachusetts
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Search Distribution & Wholesale Jobs in MassachusettsDistribution & Wholesale Jobs in Massachusetts: Frequently Asked Questions
Which distribution & wholesale companies sponsor F-1 STEM OPT visas in Massachusetts?
Large national distributors with Massachusetts operations, including Amazon, XPO Logistics, and Sysco, have sponsored F-1 STEM OPT candidates in supply chain and analytics roles. Regional wholesale firms in the food and industrial distribution sectors have also sponsored OPT workers, particularly for roles in operations management, demand planning, and inventory analytics where STEM degrees are directly applicable.
Which cities in Massachusetts have the most distribution & wholesale F-1 STEM OPT sponsorship jobs?
Boston and its surrounding metro area see the highest concentration of distribution and wholesale sponsorship roles, driven by proximity to major ports and logistics infrastructure. Worcester and Springfield serve as secondary hubs along the I-90 corridor, where regional distribution centers cluster. North Shore communities near Route 128 also attract wholesale and logistics employers seeking supply chain and data analytics graduates.
What types of distribution & wholesale roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify for F-1 STEM OPT sponsorship in distribution and wholesale are typically those requiring a bachelor's or advanced degree in a STEM field. Supply chain analyst, demand planner, logistics data analyst, warehouse operations engineer, and inventory optimization specialist positions commonly meet the requirement. Roles must have a direct and clear connection to the graduate's STEM degree as confirmed by the Designated School Official.
How do I find distribution & wholesale F-1 STEM OPT sponsorship jobs in Massachusetts?
Migrate Mate is built specifically for international students and filters distribution and wholesale jobs in Massachusetts by visa sponsorship type, including F-1 STEM OPT. You can search by industry, location, and work authorization to surface employers with verified OPT sponsorship history. Searching by role type, such as supply chain analyst or logistics coordinator, helps narrow results to positions where your STEM degree directly qualifies you.
Are there any Massachusetts-specific or industry-specific considerations for F-1 STEM OPT sponsorship in distribution & wholesale?
Massachusetts employers in distribution and wholesale who hire STEM OPT students must be enrolled in E-Verify, which is a federal requirement for all STEM OPT extensions. Massachusetts does not impose additional state-level E-Verify mandates beyond federal rules. The state's concentration of technology-integrated logistics operations, particularly around the Route 128 corridor, means many distribution employers already have infrastructure in place to support STEM OPT hires in analytical and engineering-adjacent roles.