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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Get Access To All JobsINTRODUCTION
Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative?
Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models.
As part of Apple’s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high-quality AI experiences to users around the globe. You’ll also contribute to forward-looking research in fairness, robustness, uncertainty, and safety - pushing the boundaries of responsible AI at scale.
DESCRIPTION
Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders - ensuring our safeguards advance both user protection and product innovation.
These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, post-launch to continuously improve feature safety and user trust.
MINIMUM QUALIFICATIONS
- 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
- Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows
- Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross-functional partners, senior leadership, and executives
- Strong analytical and independent problem-solving skills, with ability to navigate ambiguity
- Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi-labeled data
- Hands-on experience collecting and analyzing language, vision, or multimodal datasets
- Background in failure analysis, quality engineering, or robustness testing for ML-driven systems
- Must be comfortable working with sensitive or potentially offensive content
PREFERRED QUALIFICATIONS
- BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience
- Proven success contributing in a highly cross-functional environment
- Experience shipping complex AI systems at global scale
- Background in model explainability, uncertainty estimation, or interpretability
- Curiosity and research interest in fairness, bias, and the societal impacts of generative AI
- Passion for building innovative, high-impact products that draw upon interdisciplinary skills
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative?
Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models.
As part of Apple’s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high-quality AI experiences to users around the globe. You’ll also contribute to forward-looking research in fairness, robustness, uncertainty, and safety - pushing the boundaries of responsible AI at scale.
DESCRIPTION
Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders - ensuring our safeguards advance both user protection and product innovation.
These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, post-launch to continuously improve feature safety and user trust.
MINIMUM QUALIFICATIONS
- 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
- Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows
- Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross-functional partners, senior leadership, and executives
- Strong analytical and independent problem-solving skills, with ability to navigate ambiguity
- Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi-labeled data
- Hands-on experience collecting and analyzing language, vision, or multimodal datasets
- Background in failure analysis, quality engineering, or robustness testing for ML-driven systems
- Must be comfortable working with sensitive or potentially offensive content
PREFERRED QUALIFICATIONS
- BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience
- Proven success contributing in a highly cross-functional environment
- Experience shipping complex AI systems at global scale
- Background in model explainability, uncertainty estimation, or interpretability
- Curiosity and research interest in fairness, bias, and the societal impacts of generative AI
- Passion for building innovative, high-impact products that draw upon interdisciplinary skills
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 1,303+ H-1B Visa Senior ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior ML Engineer Jobs.
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.