H-1B Visa ML Research Engineer Jobs
ML Research Engineer roles qualify as H-1B visa specialty occupations under the computer and mathematical sciences category, requiring at least a bachelor's degree in computer science, machine learning, or a directly related field. Most research-focused positions at labs and tech companies have active H-1B filing histories, making this one of the more sponsorship-accessible paths for international candidates.
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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 1,568+ H-1B Visa ML Research Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa ML Research Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a ML Research Engineer
Frame your research portfolio for specialty occupation
USCIS evaluates whether your role requires a specific theoretical body of knowledge. Document how your ML research draws on advanced mathematics, statistics, or computer science, not just engineering execution. Peer-reviewed publications and patent filings strengthen this directly.
Check LCA filings before applying
Use Migrate Mate to filter employers by verified H-1B Labor Condition Application history in ML and research roles. This surfaces companies that have already cleared DOL prevailing-wage certification for positions matching your target job code, not just companies that sponsor in general.
Target cap-exempt employers strategically
Universities, nonprofit research institutions, and certain government-affiliated labs are exempt from the annual H-1B cap and lottery. If your research background fits academic or applied science contexts, these employers can file for you any time of year without a registration slot.
Verify your wage tier before negotiating an offer
Your employer's LCA must certify your salary at the DOL prevailing wage for your SOC code and work location. Look up the wage level for ML Research Engineer roles in your target metro using the OFLC Wage Search before accepting an offer, so you know the floor your employer must meet.
Request premium processing if your start date is tight
USCIS offers premium processing for H-1B petitions, reducing adjudication to 15 business days. For ML Research Engineer roles starting after an OPT expiration or mid-year transition, confirm with your employer that they'll request it, standard processing can run five to seven months.
Align your job description to your O*NET profile
The O*NET profile for ML Research Engineer roles lists specific knowledge domains and skill requirements USCIS reviewers reference during specialty occupation adjudication. Ask your employer to ensure the job description mirrors this language to reduce the risk of a Request for Evidence.
H-1B Visa ML Research Engineer: Frequently Asked Questions
Does an ML Research Engineer role qualify as an H-1B specialty occupation?
Yes. ML Research Engineer positions fall under the computer and mathematical sciences occupational category, which USCIS consistently recognizes as a specialty occupation. The role must require at least a bachelor's degree in a directly related field such as computer science, machine learning, statistics, or applied mathematics. Roles that accept any degree or treat the degree requirement as a preference rather than a requirement can face challenges during adjudication.
Which types of employers sponsor H-1B visas for ML Research Engineer roles?
Large technology companies, AI-focused startups, national laboratories, and research universities are the most active sponsors for ML Research Engineer positions. Universities and nonprofit research institutions are cap-exempt, meaning they can file H-1B petitions outside the lottery window. You can browse employers with verified H-1B filing history for research and ML roles on Migrate Mate, filtered by location and job function.
How does the H-1B lottery affect ML Research Engineer job seekers?
The annual H-1B cap covers most private-sector employers, with registrations typically open in March for an October 1 start date. USCIS selects registrations by random lottery when demand exceeds the 85,000 available slots. If you're targeting cap-exempt employers like universities or federally funded research labs, the lottery doesn't apply and your employer can file any time your position is ready.
What documents should I prepare before an employer files my H-1B petition?
You'll need your highest academic credentials with translations if applicable, your current immigration status documents, and a detailed resume aligned to the specialty occupation definition. For ML Research Engineer roles, supporting evidence such as published research, conference proceedings, or patents helps establish that your position requires specialized theoretical knowledge. Your employer's attorney typically compiles the petition, but your documentation package directly affects adjudication speed.
Can I switch ML Research Engineer employers after my H-1B is approved?
Yes, under H-1B portability rules established by AC21, you can transfer your H-1B to a new employer once your petition has been pending or approved for at least 180 days, provided the new role is in the same or a similar occupational classification. Your new employer files an H-1B transfer petition and you can begin work once they receive the receipt notice, without waiting for final approval.