STEM OPT AI ML Engineering Jobs
AI ML Engineering roles in computer science, data science, and related STEM fields qualify for the 24-month STEM OPT extension, giving you up to 36 months of total work authorization. Your employer must be enrolled in E-Verify to file your I-983 training plan and keep your authorization active.
Find STEM OPT AI ML Engineering JobsOverview
Showing 5 of 403+ AI ML Engineering jobs
See all 403+ AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineering roles.
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 403+ STEM OPT AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT AI ML Engineering Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in AI ML Engineering
Verify your CIP code before applying
Your STEM OPT eligibility depends on your degree's Classification of Instructional Programs code matching an approved STEM list. Computer science, electrical engineering, and data science CIP codes commonly support AI ML roles, but confirm with your DSO before targeting employers.
Filter employers by E-Verify enrollment status
Only E-Verify-enrolled employers can legally hire you on STEM OPT. Before any application, confirm enrollment through the E-Verify employer search tool. Roles at non-enrolled companies, including many early-stage startups, are off-limits regardless of how strong the offer looks.
Build an I-983 training plan before the offer stage
Drafting your training plan goals for an AI ML role before you receive an offer lets you move faster once one comes. Map your learning objectives to specific ML frameworks, model development responsibilities, and performance benchmarks your employer will sign off on.
Target employers with active H-1B filing history
Companies that have consistently filed H-1B visa petitions for ML engineers are structurally prepared to support long-term authorization. Use Migrate Mate to filter AI ML Engineering roles by employers with verified sponsorship history, so you're not starting that conversation from scratch.
Align your role title with DOL wage classifications
Job titles in AI and ML vary widely, but DOL wage levels are tied to SOC codes like Software Developers or Computer and Information Research Scientists. Use the OFLC Wage Search to confirm which SOC code your offer maps to before negotiating, since misclassification can delay LCA certification.
Track your 24-month extension window against H-1B cap dates
If your STEM OPT expires before an H-1B petition takes effect, cap-gap protection may bridge the gap, but only if your employer files before April 1 of the relevant fiscal year. Coordinate your extension end date with your employer's HR team early so filing deadlines don't catch you off guard.
Frequently Asked Questions
Which STEM degrees qualify for the OPT extension for AI ML Engineering roles?
Degrees in computer science, electrical engineering, statistics, applied mathematics, and data science are among the most common qualifying fields for AI ML Engineering positions. Your degree must carry an approved STEM Classification of Instructional Programs code, and your DSO can confirm whether your specific program qualifies before you begin the extension application through USCIS.
Does my employer have to be enrolled in E-Verify to hire me on STEM OPT?
Yes. E-Verify enrollment is a hard requirement for every employer hiring STEM OPT students. There are no exceptions, even for short contracts or part-time roles. You can verify a company's enrollment status through the E-Verify employer search before accepting any offer. Working for a non-enrolled employer places your immigration status at risk.
What goes into the I-983 training plan for an AI ML Engineering position?
Your I-983 must describe the specific AI and ML skills you'll develop, the projects or responsibilities tied to those goals, how your work connects to your STEM degree, and how your employer will evaluate your progress. For AI ML Engineering roles, this typically includes model development, data pipeline work, framework proficiency, and measurable performance benchmarks signed off by a supervisor.
How does cap-gap protection work if my STEM OPT ends before my H-1B starts?
If your employer files an H-1B petition on your behalf before April 1 and your STEM OPT expires between April 1 and October 1 of the same year, cap-gap automatically extends your work authorization through September 30. Your employer must file before that deadline for protection to apply. USCIS provides guidance on cap-gap rules for F-1 students transitioning to H-1B status.
Where can I find AI ML Engineering jobs at employers already set up for STEM OPT students?
Migrate Mate lists AI ML Engineering roles filtered by employers with active E-Verify enrollment and a track record of sponsoring STEM workers. Searching there lets you focus on companies that already understand the I-983 process and are structurally prepared to support your authorization, rather than spending time educating employers who have never hired an OPT student.