J-1 Visa Information Systems Analyst Jobs
Information Systems Analyst roles qualify for J-1 visa sponsorship under the Trainee or Research Scholar program category, connecting you with U.S. host employers in IT, finance, and enterprise technology. A State Department-designated sponsor organization issues your DS-2019 and oversees your exchange program from start to finish.
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Unleash Your Potential as an AI Trailblazer
At Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.
Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Must be eligible and available for a full-time (40h / week) 12 week internship between May 2026 and September 2026
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender Systems
In this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets
- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training
- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains
- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide
- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI community
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Work 40 hours/week minimum and commit to 12 week internship minimum
- Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
Unleash Your Potential as an AI Trailblazer
At Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.
Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Must be eligible and available for a full-time (40h / week) 12 week internship between May 2026 and September 2026
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender Systems
In this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets
- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training
- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains
- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide
- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI community
BASIC QUALIFICATIONS
- Are enrolled in a PhD
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Work 40 hours/week minimum and commit to 12 week internship minimum
- Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages
PREFERRED QUALIFICATIONS
- Have publications at top-tier peer-reviewed conferences or journals
- Experience building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
See all J-1 Visa Information Systems Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Information Systems Analyst Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an Information Systems Analyst
Document your IT credentials before applying
Compile transcripts, professional certifications (CompTIA, Cisco, Microsoft), and employment letters that confirm your systems analysis experience. Designated sponsors review these when assessing whether your background qualifies for Trainee or Research Scholar category placement.
Verify your role meets specialty occupation standards
Cross-reference the Information Systems Analyst occupation profile on O*NET to confirm your duties align with the standard job zone and education requirements. Host employers increasingly use this to justify the training plan submitted to their designated sponsor.
Target host employers with established exchange programs
Use Migrate Mate to filter for U.S. employers actively hosting J-1 visa exchange visitors in technology and data roles. Companies with existing designated sponsor relationships process DS-2019 paperwork faster and understand training plan requirements without extensive coaching.
Understand the two-year home residency requirement early
Research Scholar and some Trainee placements in government-funded roles trigger the two-year home residency requirement under INA Section 212(e). Confirm whether your specific host employer or funding source activates this rule before accepting an offer.
Align your training plan to actual systems analysis tasks
The DS-7002 training plan must detail specific skills you'll develop, such as enterprise resource planning configuration, database querying, or systems integration testing. Vague plans citing generic IT exposure are flagged by designated sponsors and can delay your DS-2019 issuance.
Negotiate offer terms before sponsor enrollment begins
Once your host employer submits paperwork to a designated sponsor like Cultural Vistas or AIPT, changing compensation, start dates, or role scope requires restarting the training plan approval process. Resolve all offer terms in writing before your employer initiates the enrollment.
Information Systems Analyst J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an Information Systems Analyst role?
The Trainee category applies if you've completed a degree in computer science, information systems, or a related field within the past 12 months, or have at least one year of relevant work experience outside the U.S. The Research Scholar category fits analysts placed at universities or research institutions conducting applied IT research. Your host employer's relationship with a designated sponsor typically determines which category is used.
Who actually sponsors the J-1 visa for this type of role?
A U.S. Department of State-designated sponsor organization, not your host employer, issues the DS-2019 and holds legal responsibility for your exchange program. For Information Systems Analyst placements, sponsors like Cultural Vistas or AIPT administer the program, monitor your training plan compliance, and report to the State Department. Your host employer is the company where you work day-to-day.
How do I find U.S. employers willing to host a J-1 Information Systems Analyst?
Search Migrate Mate for technology and IT roles at U.S. companies that have hosted J-1 exchange visitors before. Employers with existing designated sponsor relationships are far more likely to commit to the DS-7002 training plan and DS-2019 process. Cold outreach to companies unfamiliar with J-1 hosting requirements significantly delays or derails placements.
Does the two-year home residency requirement apply to IT analyst roles?
It depends on your funding source and your home country's bilateral agreement with the United States. If your position is funded by a U.S. government agency, your home country's government, or an international organization, the two-year home residency requirement under INA Section 212(e) almost certainly applies. Analysts in purely private-sector placements often avoid it, but confirm this with your designated sponsor before accepting any offer.
What should the DS-7002 training plan include for a systems analyst position?
The DS-7002 must outline specific technical skills you'll gain, phase-by-phase objectives, supervision arrangements, and measurable evaluation criteria. For an Information Systems Analyst role, this typically means detailing exposure to systems integration methods, database management tools, or business process modeling software. Plans that list only generic IT duties are routinely rejected by designated sponsors and delay DS-2019 issuance by weeks.