H-1B Visa AI ML Engineer Jobs
AI ML Engineer roles qualify as H-1B visa specialty occupations under the computer occupations category, requiring at least a bachelor's degree in computer science, data science, or a related field. Employers filing H-1B petitions for these roles must certify a prevailing wage through the DOL before USCIS adjudicates the petition.
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Get Access To All JobsINTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
ROLE AND RESPONSIBILITIES
Build and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Analyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Build custom software components and analytics applications. Design & Implement strategies for deploying machine learning models into production environments. Responsible for selecting best model to meet both model performance and minimize compute costs. Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Collaborate with the Product and Engineering teams to identify opportunities for integrating Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of Generative AI Technologies, paradigms & frameworks following organizational best practices. Design, develop, and deploy enterprise-grade applications leveraging Generative AI technologies, including large language models (LLMs), multimodal architectures, and advanced prompt engineering. Responsibilities include fine-tuning pre-trained models on domain-specific datasets, implementing retrieval-augmented generation (RAG) for knowledge grounding, and building agentic systems that orchestrate autonomous workflows and integrate with domain-specific APIs.
BASIC QUALIFICATIONS
Employer will accept a Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, Industrial Engineering, or a related field and 1 year of experience in the job offered or related occupation. Alternatively, employer will accept a Bachelor’s degree in Computer Science, Machine Learning, Data Science, Statistics, Industrial Engineering, or a related field and 3 years of experience in the job offered or related occupation.
Position requires:
- Enterprise-grade end-to-end machine learning systems in cloud environments
- Regression and classification algorithms, deep learning, reinforcement learning, and generative AI
- Event-driven pipelines using Pub/Sub, Solace, or Kafka
- Docker and Kubernetes
- ETL/ELT pipelines with Kubeflow, Dataflow, or Airflow
- SQL
- API development (RESTful APIs) for machine learning models
- LLMs, multimodal models, prompt engineering, and agentic systems
- Retrieval-Augmented Generation (RAG) and fine-tuning domain specific models
- Semiconductor manufacturing big data
PREFERRED QUALIFICATIONS
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
INTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
ROLE AND RESPONSIBILITIES
Build and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Analyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Design and optimize data structures in data management systems (Cloud platforms - Snowflake, GCP, Azure) to enable AI/ML solutions. Build custom software components and analytics applications. Design & Implement strategies for deploying machine learning models into production environments. Responsible for selecting best model to meet both model performance and minimize compute costs. Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Collaborate with the Product and Engineering teams to identify opportunities for integrating Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of Generative AI Technologies, paradigms & frameworks following organizational best practices. Design, develop, and deploy enterprise-grade applications leveraging Generative AI technologies, including large language models (LLMs), multimodal architectures, and advanced prompt engineering. Responsibilities include fine-tuning pre-trained models on domain-specific datasets, implementing retrieval-augmented generation (RAG) for knowledge grounding, and building agentic systems that orchestrate autonomous workflows and integrate with domain-specific APIs.
BASIC QUALIFICATIONS
Employer will accept a Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, Industrial Engineering, or a related field and 1 year of experience in the job offered or related occupation. Alternatively, employer will accept a Bachelor’s degree in Computer Science, Machine Learning, Data Science, Statistics, Industrial Engineering, or a related field and 3 years of experience in the job offered or related occupation.
Position requires:
- Enterprise-grade end-to-end machine learning systems in cloud environments
- Regression and classification algorithms, deep learning, reinforcement learning, and generative AI
- Event-driven pipelines using Pub/Sub, Solace, or Kafka
- Docker and Kubernetes
- ETL/ELT pipelines with Kubeflow, Dataflow, or Airflow
- SQL
- API development (RESTful APIs) for machine learning models
- LLMs, multimodal models, prompt engineering, and agentic systems
- Retrieval-Augmented Generation (RAG) and fine-tuning domain specific models
- Semiconductor manufacturing big data
PREFERRED QUALIFICATIONS
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
See all 1,760+ H-1B Visa AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI ML Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI ML Engineer
Align your degree to the role
USCIS scrutinizes whether your degree field directly relates to AI or ML engineering. A computer science or data science degree maps cleanly. If yours is adjacent, prepare documentation showing relevant coursework, projects, or transcripts before applying.
Target employers with active LCA filings
Search DOL Labor Condition Application disclosure data for employers who have recently certified LCAs under SOC code 15-2051 (Data Scientists) or 15-1252 (Software Developers). Recent filings confirm the employer has filed for this role type before.
Use Migrate Mate to filter by sponsorship history
Pull up AI ML Engineer roles on Migrate Mate and filter by verified H-1B filing history. That narrows your list to employers who have already navigated the LCA and petition process for this occupation, not just those who say they're open to sponsorship.
Clarify the SOC code before the LCA is filed
Ask your recruiting contact which SOC code the employer intends to use on the LCA. Mismatches between your job duties and the filed SOC code are a common RFE trigger. Getting this right before filing avoids delays after your start date is set.
Request premium processing if your start date is fixed
USCIS offers premium processing on I-129 petitions, reducing adjudication to 15 business days. If your offer has a specific start date tied to a project or team onboarding cycle, ask the employer to include premium processing in the petition from the outset.
Verify the prevailing wage level before negotiating
Run your job title and work location through the OFLC Wage Search to see the Level I through Level IV prevailing wages. Employers must certify at least the applicable level. Knowing the floor prevents you from negotiating into a wage the employer can't legally certify.
H-1B Visa AI ML Engineer: Frequently Asked Questions
Does an AI ML Engineer role qualify as an H-1B specialty occupation?
Yes. AI ML Engineer positions fall under computer and information technology occupations, which USCIS consistently recognizes as specialty occupations requiring at least a bachelor's degree in a directly related field such as computer science, data science, statistics, or electrical engineering. Roles combining model development, applied research, or production ML systems have a strong track record of approval when the employer documents the degree requirement in the Labor Condition Application and petition.
Which employers sponsor H-1B visas for AI ML Engineer roles?
Technology companies, financial services firms, healthcare systems, and large enterprises with dedicated data or AI teams are consistent H-1B sponsors for this role. The most reliable way to identify them is through DOL Labor Condition Application disclosure data, which shows actual filings by employer and occupation. Migrate Mate surfaces this data directly so you can browse verified AI ML Engineer roles at employers with confirmed H-1B filing history.
What documents should I prepare before an employer starts the H-1B filing process?
You'll need official degree transcripts, your diploma or degree certificate, and a current resume with detailed job duties. If your degree is from outside the United States, a credential evaluation from a NACES-member organization is typically required. USCIS may also ask for evidence linking your degree field to AI or ML specifically, so gather course descriptions or a letter from your academic institution explaining the curriculum's relevance to the role.
Can I switch AI ML Engineer jobs while on H-1B status?
Yes, under AC21 portability rules, you can change employers after your I-140 has been approved for 180 days and the new role is in the same or a similar occupational classification. For employer changes before that threshold, the new employer must file a new H-1B petition before you start work. Because portability rules hinge on SOC code alignment, confirm that your new AI ML Engineer role maps to the same occupation code as your original petition.
How does the H-1B lottery affect AI ML Engineer job seekers?
The annual H-1B cap covers 65,000 regular-cap slots plus 20,000 reserved for U.S. master's degree holders. If you hold a master's in computer science, data science, or a related field from a U.S. institution, you're eligible for both pools, increasing your selection odds. Cap-exempt employers, including universities and certain nonprofit research organizations, can file outside the lottery entirely, which is worth factoring into your employer targeting strategy.