H-1B Visa Machine Learning Engineer Jobs
Machine Learning Engineer roles qualify as H-1B visa specialty occupations under the computer-related occupations category, requiring at least a bachelor's degree in computer science, statistics, or a related field. Most ML positions fall under SOC code 15-2051 or 15-1212, which have strong H-1B filing histories at tech, finance, and healthcare companies.
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Get Access To All JobsSenior Machine Learning Engineer
Job Summary
This role is responsible for leveraging expertise to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms. The role ensures that ML models are properly trained, validated, and optimized for performance.
Responsibilities
- Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
- Builds and maintains robust data pipelines and monitoring systems in distributed computing environments.
- Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance.
- Establishes and optimizes scalable processes for large-scale data operations to drive ML product improvements.
- Engages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.
- Collaborates with DevOps teams to integrate models into production systems and automate deployment processes.
- Validates, communicates, and monitors the delivery of customer requirements for AI/ML solutions.
- Participates in cutting-edge research in artificial intelligence and machine learning applications.
- Stays up-to-date with the latest advancements in machine learning and related technologies.
- Manages and maintains the compute cluster environment used to host and serve machine learning models, including capacity planning, performance monitoring, resource allocation, system reliability, and operational support.
Education & Experience Recommended
Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
Preferred Certifications
- AWS Certified Machine Learning Specialty or equivalent
Knowledge & Skills
- AI/ML Inference Infrastructure
- Agile Methodology
- Algorithms
- Artificial Intelligence
- Automation
- Big Data
- C++ (Programming Language)
- Computer Science
- CUDA
- Data Science
- Deep Learning
- GenAI
- Infrastructure Monitoring and Observability
- Kubernetes
- LLM Eval
- LLMOps
- Machine Learning
- Model Quantization
- Natural Language Processing
- Python (Programming Language)
- PyTorch (Machine Learning Library)
- Retrieval-Augmented Generation (RAG)
- Software Engineering
- Vector Databases
- vLLM
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Pay & Benefits
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
- US benefits overview https://hpbenefits.ce.alight.com/
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job
Software
Schedule
Full time
Shift
No shift premium (United States of America)
Travel
Relocation
Equal Opportunity Employer (EEO)
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
Senior Machine Learning Engineer
Job Summary
This role is responsible for leveraging expertise to design, develop, and implement cutting-edge machine learning models that solve complex challenges and enhance business processes. The role collaborates with cross-functional teams, to transform data into actionable insights by selecting, training, and optimizing machine learning algorithms. The role ensures that ML models are properly trained, validated, and optimized for performance.
Responsibilities
- Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
- Builds and maintains robust data pipelines and monitoring systems in distributed computing environments.
- Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance.
- Establishes and optimizes scalable processes for large-scale data operations to drive ML product improvements.
- Engages with business and analytics teams to translate data requirements into technical solutions leveraging machine learning principles.
- Collaborates with DevOps teams to integrate models into production systems and automate deployment processes.
- Validates, communicates, and monitors the delivery of customer requirements for AI/ML solutions.
- Participates in cutting-edge research in artificial intelligence and machine learning applications.
- Stays up-to-date with the latest advancements in machine learning and related technologies.
- Manages and maintains the compute cluster environment used to host and serve machine learning models, including capacity planning, performance monitoring, resource allocation, system reliability, and operational support.
Education & Experience Recommended
Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7-10 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
Preferred Certifications
- AWS Certified Machine Learning Specialty or equivalent
Knowledge & Skills
- AI/ML Inference Infrastructure
- Agile Methodology
- Algorithms
- Artificial Intelligence
- Automation
- Big Data
- C++ (Programming Language)
- Computer Science
- CUDA
- Data Science
- Deep Learning
- GenAI
- Infrastructure Monitoring and Observability
- Kubernetes
- LLM Eval
- LLMOps
- Machine Learning
- Model Quantization
- Natural Language Processing
- Python (Programming Language)
- PyTorch (Machine Learning Library)
- Retrieval-Augmented Generation (RAG)
- Software Engineering
- Vector Databases
- vLLM
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Pay & Benefits
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave
- US benefits overview https://hpbenefits.ce.alight.com/
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job
Software
Schedule
Full time
Shift
No shift premium (United States of America)
Travel
Relocation
Equal Opportunity Employer (EEO)
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
See all 2,236+ H-1B Visa Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Machine Learning Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Machine Learning Engineer
Verify your SOC code before applying
ML Engineer roles get filed under different SOC codes depending on the employer. Check the O*NET profile for 15-2051 and 15-1212 to confirm your job duties align, since a SOC mismatch can trigger an RFE on specialty occupation grounds.
Target employers with certified LCA history
Filter employers by their DOL Labor Condition Application filings for ML-specific job titles before you apply. Migrate Mate surfaces this LCA data by occupation, so you can see which companies have filed for roles matching your background.
Document your degree equivalency early
If your degree is from outside the U.S. or in a field adjacent to ML, get a credential evaluation before your employer files. USCIS scrutinizes degree-to-role fit for ML positions, and a credential evaluation letter strengthens the specialty occupation argument.
Negotiate premium processing into your offer
Standard H-1B processing can run several months, which creates gaps if you're transitioning from OPT or another status. Ask during negotiations whether the employer will file with USCIS premium processing so your petition adjudicates within 15 business days.
Check prevailing wage level before accepting an offer
Your employer must certify your salary meets the DOL prevailing wage for your SOC code and work location. Use the OFLC Wage Search to look up Level I through Level IV wages for ML roles in your metro area before you sign.
Prepare for research exemption eligibility questions
ML Engineers at universities or nonprofit research organizations may qualify for cap-exempt H-1B sponsorship, bypassing the lottery entirely. Confirm whether your employer holds cap-exempt status with USCIS before assuming you need to compete in the annual lottery.
H-1B Visa Machine Learning Engineer: Frequently Asked Questions
Does a Machine Learning Engineer role qualify as an H-1B specialty occupation?
Yes. ML Engineer positions require at least a bachelor's degree in computer science, data science, statistics, or a closely related field, which meets the USCIS specialty occupation definition. Employers document this in the H-1B petition by tying the job duties, such as model development and algorithm design, to that specific degree requirement. Roles that accept any bachelor's degree regardless of field are harder to defend and more likely to receive an RFE.
Which SOC codes do employers use when filing H-1B petitions for ML Engineers?
Most employers file under SOC 15-2051 (Data Scientists) or SOC 15-1212 (Information Security Analysts), though some use 15-1299 (Computer Occupations, All Other) depending on how the job duties are framed. The SOC code affects the DOL prevailing wage tier and the strength of the specialty occupation argument. Confirm which code your employer intends to use before the LCA is filed, since changing it later requires refiling with DOL.
How do I find employers who have sponsored H-1B visas for Machine Learning Engineer jobs?
Search Migrate Mate to browse ML Engineer roles filtered by employers with verified H-1B LCA filing history. DOL LCA disclosure data is public and shows which companies have certified positions under ML-related SOC codes. Targeting employers with an established sponsorship track record reduces the risk of encountering a company unfamiliar with the H-1B process mid-hiring-cycle.
Can I transfer my H-1B to a new ML Engineer role without losing my place in the cap?
Yes. If you've already been counted against the H-1B cap, you can transfer your H-1B to a new employer through the H-1B portability provision under AC21, which lets you start work as soon as the new I-129 is filed, not after approval. Your new employer files a new LCA with DOL for the specific ML role and location, then petitions USCIS. You don't reenter the lottery.
What triggers an RFE on an H-1B petition for a Machine Learning Engineer position?
The two most common RFE triggers for ML Engineer petitions are specialty occupation disputes and degree-field mismatches. USCIS may question whether the role genuinely requires a specific bachelor's degree if the job description is broad or lists multiple qualifying fields. Employers strengthen the petition by providing industry wage data, internal job posting requirements, and documentation showing that ML roles across the industry require the same degree field.