H-1B Visa Senior ML Engineer Jobs
Senior ML Engineer roles qualify as H-1B visa specialty occupations under the computer occupations SOC category, requiring at least a bachelor's degree in computer science, statistics, or a related field. Most employers filing LCAs for these roles fall under Level III or IV prevailing wages, reflecting the seniority of the position.
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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.
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See all 1,761+ H-1B Visa Senior ML Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior ML Engineer
Verify your degree supports specialty occupation
USCIS scrutinizes whether your degree field directly relates to ML engineering. A computer science or statistics degree is cleanest. If yours is adjacent, gather transcripts showing coursework in machine learning, linear algebra, and algorithms before applications go out.
Look up prevailing wages before negotiating
Use the OFLC Wage Search to find the Level III or IV wage for your target SOC code and metro area. Your offered salary must meet or exceed the LCA-certified wage, so knowing the floor before negotiating protects your sponsorship eligibility.
Filter employers by active LCA filing history
Search Migrate Mate to identify companies with recent LCA filings for ML engineering roles. Employers who've filed within the past 12 months have active sponsorship infrastructure, making them far more likely to move quickly through the H-1B process.
Target cap-exempt employers to skip the lottery
Universities, nonprofit research labs, and government-affiliated institutions are cap-exempt, meaning they can file H-1B petitions year-round without lottery selection. Senior ML roles exist at places like national labs and academic medical centers, and a cap-exempt offer eliminates lottery risk entirely.
Request premium processing before your OPT expires
USCIS premium processing guarantees a 15-business-day adjudication decision. If your OPT end date is close to October 1, confirm your employer will file with premium processing so any RFE response window doesn't push adjudication past your authorized period.
Prepare an ML portfolio that addresses specialty occupation RFEs
USCIS sometimes issues RFEs questioning whether senior ML roles qualify as specialty occupations. Compile peer-reviewed publications, model architecture documentation, and O*NET job zone data before filing so your employer's attorney can respond without delay.
H-1B Visa Senior ML Engineer: Frequently Asked Questions
Does a Senior ML Engineer role qualify as an H-1B specialty occupation?
Yes. Senior ML Engineer positions fall under computer occupations SOC codes that USCIS consistently recognizes as specialty occupations, requiring at least a bachelor's degree in computer science, mathematics, statistics, or a directly related field. The seniority level actually strengthens the case because it reinforces that the role demands specialized theoretical knowledge, not just general programming skills.
How do I find employers who actively sponsor H-1B visas for ML engineers?
Search Migrate Mate, which surfaces employers with verified LCA filing history filtered by occupation. Prioritize companies that have filed LCAs specifically for machine learning or data science roles in the past year. Active filings signal that a company has established relationships with immigration counsel and understands the H-1B timeline, reducing friction on your end.
Can I switch to a new ML engineer employer while on H-1B status?
Yes, through H-1B portability under AC21. If your current H-1B has been approved for at least 180 days and you move to a same-or-similar occupation, you can start working for the new employer as soon as they file the transfer petition, before it's approved. ML engineering roles within the same SOC code group generally qualify as same-or-similar.
What happens if my H-1B lottery registration isn't selected?
You have several fallback paths. Cap-exempt employers, including universities and qualifying nonprofit research organizations, can sponsor you without lottery selection. An O-1A visa is another route if you have published research, patents, or other evidence of extraordinary ability in machine learning. Some candidates also pursue L-1 visa transfers through multinational employers if they've worked abroad for the same company.
Does my employer's H-1B petition need to specify machine learning as my primary duty?
Yes. The LCA and I-129 petition must accurately describe your actual job duties, including the specific ML frameworks, model types, and research or production systems you'll work on. Vague duty descriptions like 'software development' invite RFEs. Your employer's attorney should document why the role requires a specialized degree, not just technical experience, to satisfy the specialty occupation standard.