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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This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
High Performance Computing, AI and Labs are a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers’ digital transformation, enabling them to tackle their complex, and data-intensive workloads. Combining deep expertise and the development of the world’s most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what’s next for you.
Responsibilities:
- Installs and configures complex IT infrastructure components (servers, storage, network)
- Develop software scripts and configurations for automating deployment.
- Study and improve the performance of Large Language Models run on HPE GPU servers
- Performs system level analysis of server workloads on various HPE platforms running DL and ML code to include accelerated hardware and high-speed networks like InfiniBand
- Writes white papers and other guidance documents for AI workload and model selection
- Captures and reviews system performance data, logs, traces to understand workload behaviour
- Develops software and scripts that help analyse AI workload performance data
- Communicates technical work well and can provide summaries of work to non-technical colleagues
- Works with software and hardware partners in optimizing systems and resolving performance issues
- Documents and reports issues discovered when testing and evaluating the systems
- Communicates project status and concerns to management in a timely manner
- Provides guidance to less-experienced staff members.
- Runs AI and HPC benchmarks.
Education and Experience Required:
- Master's degree or PhD in Computer Science, Engineering, Information Technology or Systems, or relevant field.
- 5+ years of experience.
Knowledge and Skills:
- 5+ years of experience in Machine Learning/Artificial Intelligence and 5+ years of experience in HPC
- Experience running NCCL, HPL and AI benchmarks.
- Experience working with containers and distributed deep learning and neural networks, to include transformers used in generative AI projects
- Experience working with High Performance Computer Servers, High Performance Networking, and associated software, including resource managers like Slurm
- Experience working with Weka I/O, NFTS and Lustre File Systems
- Programming experience in Python, C, C++
- Strong analytical and critical thinking skills
- Scripting, process automation and CI/CD are strongly desired
- Must be a self-starter and be able to work with minimum supervision in a semi-remote setting
Additional Skills:
Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job: Engineering
Job Level: TCP_03
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered.
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
AI and Machine Learning Engineer
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
High Performance Computing, AI and Labs are a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers’ digital transformation, enabling them to tackle their complex, and data-intensive workloads. Combining deep expertise and the development of the world’s most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what’s next for you.
Responsibilities:
- Installs and configures complex IT infrastructure components (servers, storage, network)
- Develop software scripts and configurations for automating deployment.
- Study and improve the performance of Large Language Models run on HPE GPU servers
- Performs system level analysis of server workloads on various HPE platforms running DL and ML code to include accelerated hardware and high-speed networks like InfiniBand
- Writes white papers and other guidance documents for AI workload and model selection
- Captures and reviews system performance data, logs, traces to understand workload behaviour
- Develops software and scripts that help analyse AI workload performance data
- Communicates technical work well and can provide summaries of work to non-technical colleagues
- Works with software and hardware partners in optimizing systems and resolving performance issues
- Documents and reports issues discovered when testing and evaluating the systems
- Communicates project status and concerns to management in a timely manner
- Provides guidance to less-experienced staff members.
- Runs AI and HPC benchmarks.
Education and Experience Required:
- Master's degree or PhD in Computer Science, Engineering, Information Technology or Systems, or relevant field.
- 5+ years of experience.
Knowledge and Skills:
- 5+ years of experience in Machine Learning/Artificial Intelligence and 5+ years of experience in HPC
- Experience running NCCL, HPL and AI benchmarks.
- Experience working with containers and distributed deep learning and neural networks, to include transformers used in generative AI projects
- Experience working with High Performance Computer Servers, High Performance Networking, and associated software, including resource managers like Slurm
- Experience working with Weka I/O, NFTS and Lustre File Systems
- Programming experience in Python, C, C++
- Strong analytical and critical thinking skills
- Scripting, process automation and CI/CD are strongly desired
- Must be a self-starter and be able to work with minimum supervision in a semi-remote setting
Additional Skills:
Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job: Engineering
Job Level: TCP_03
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered.
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
See all 2,652+ 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.