H-1B Visa ML Engineer Jobs
ML Engineer roles qualify as H-1B visa specialty occupations because they require at least a bachelor's degree in computer science, statistics, or a related field. Most ML positions fall under SOC code 15-2051 (Data Scientists) or 15-1256 (Software Developers), which affects your prevailing wage level and LCA filing. Cap-subject H-1B registration opens each March for an October 1 start date.
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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 1,761+ H-1B Visa ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa ML Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a ML Engineer
Map your degree to SOC codes
ML Engineer roles get filed under different SOC codes depending on the employer, most use 15-2051 or 15-1256. Pull your target SOC from O*NET before interviews so you can confirm your degree field aligns and anticipate any specialty occupation scrutiny.
Verify prevailing wage before negotiating
Use the OFLC Wage Search to look up the Level I through Level IV wage for your SOC code and work location before you accept an offer. Your employer's LCA must certify a wage at or above that threshold, and it affects what they can legally pay you.
Target employers already filing LCAs for ML roles
Search Migrate Mate to filter for employers with verified H-1B LCA filing history specifically for ML and data science roles. That filing record tells you the employer knows the process and has done it for your job type before.
Ask whether the employer is cap-exempt
Universities, nonprofit research institutions, and certain government-affiliated entities are cap-exempt, meaning your H-1B can start any time of year without waiting for the October 1 cap date. If you're open to those employers, your timeline compresses significantly.
Request premium processing if your start date is tight
USCIS offers premium processing on I-129 petitions, which guarantees a 15-business-day adjudication window. If you're transferring from OPT or a prior H-1B and your authorization gap is narrow, confirm early whether your employer will pay for it.
Document project scope and model ownership clearly
USCIS RFEs for ML Engineer petitions frequently challenge whether the role truly requires a specialized degree rather than general coding skills. Collect evidence showing you own model architecture decisions, not just implementation tasks, to support the specialty occupation case.
H-1B Visa ML Engineer: Frequently Asked Questions
Does an ML Engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, mathematics, or statistics. Roles focused on model research, algorithm design, or applied machine learning typically satisfy the specialty occupation standard. Roles that only require general programming skills with no field-specific degree requirement can face RFEs, so the job description needs to be precise about degree requirements.
Which SOC code do employers typically use when filing H-1B petitions for ML Engineers?
Most employers file under 15-2051 (Data Scientists) or 15-1256 (Software Developers and Software Quality Assurance Analysts). The choice affects the prevailing wage level your employer must certify on the LCA. You can look up both codes on O*NET to see which job zone and education requirements best match your role's actual duties before your employer submits the LCA to DOL.
How do I find employers who have actually sponsored H-1B visas for ML Engineer roles before?
Migrate Mate surfaces employers with verified DOL Labor Condition Application filing history filtered by occupation code, so you can see which companies have filed LCAs for ML and data science roles specifically. Checking LCA history is more reliable than asking recruiters, because it shows actual filings rather than stated willingness to sponsor.
Can I switch ML Engineer jobs while on H-1B status without losing my place in line?
Yes. Under AC21 portability, if your I-140 has been approved for at least 180 days and your new role is in the same or a substantially similar occupational classification, you can port your priority date to the new employer's petition. Your new employer still needs to file a new H-1B transfer petition before your current authorization ends, and you can start the new job once that petition is received by USCIS.
What documentation should I prepare before an employer files my H-1B petition as an ML Engineer?
You'll need your academic transcripts and degree certificates, any credential evaluations if your degree is from outside the U.S., a current resume detailing your project responsibilities, and any publications or patents that support your specialty. Your employer's attorney will also need your passport, current I-94 record, and prior immigration documents. Having these organized before the attorney engagement starts reduces delays significantly.