Senior ML Engineer Jobs in USA with Visa Sponsorship
Senior ML Engineer roles rank among the most actively sponsored positions in the U.S. tech industry. Employers regularly file H-1B visa and O-1 visa petitions for qualified candidates, and the specialty occupation requirement is straightforward to satisfy with a degree in computer science, statistics, or a related field. For detailed occupation requirements, see the O*NET profile.
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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
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3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
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Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows
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Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross-functional partners, senior leadership, and executives
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Strong analytical and independent problem-solving skills, with ability to navigate ambiguity
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Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi-labeled data
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Hands-on experience collecting and analyzing language, vision, or multimodal datasets
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Background in failure analysis, quality engineering, or robustness testing for ML-driven systems
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Must be comfortable working with sensitive or potentially offensive content
PREFERRED QUALIFICATIONS
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BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience
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Proven success contributing in a highly cross-functional environment
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Experience shipping complex AI systems at global scale
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Background in model explainability, uncertainty estimation, or interpretability
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Curiosity and research interest in fairness, bias, and the societal impacts of generative AI
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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 $184,700 and $324,800, 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.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior ML Engineer
Target companies with a strong H-1B filing history
Large tech employers and AI-focused startups file H-1B petitions for ML engineers at high rates. Prioritizing companies with consistent sponsorship track records significantly improves your odds of securing both the role and the visa petition.
Lead with production ML experience, not just research
Employers sponsoring H-1B petitions for ML engineers need to justify specialty occupation status. Demonstrating end-to-end model deployment, infrastructure ownership, and cross-functional impact strengthens both your candidacy and the legal case for your petition.
A computer science or quantitative degree matters more here
USCIS scrutinizes specialty occupation claims for ML roles. A bachelor's or advanced degree in computer science, mathematics, statistics, or electrical engineering makes the petition considerably cleaner and reduces the risk of a Request for Evidence.
O-1A is a viable path if you have strong research credentials
Senior ML engineers with published papers, conference presentations, or notable open-source contributions may qualify for the O-1A visa. It bypasses the H-1B lottery entirely and is worth exploring if your profile includes recognized industry or academic achievements.
Negotiate sponsorship terms before accepting an offer
Clarify whether the employer covers H-1B filing fees, legal costs, and premium processing before signing. These terms vary significantly between companies, and raising them after an offer is accepted is considerably harder than addressing them upfront.
Specialization in a high-demand subfield strengthens your position
ML engineers with deep expertise in areas like LLMs, computer vision, or reinforcement learning are in shorter supply than generalists. A clearly defined specialization makes you easier to sponsor and harder for a hiring manager to pass over.
Frequently Asked Questions
Is Senior ML Engineer a qualifying specialty occupation for the H-1B visa?
Yes, Senior ML Engineer consistently qualifies as a specialty occupation under H-1B visa requirements. USCIS recognizes that the role normally requires at least a bachelor's degree in computer science, statistics, mathematics, or a closely related field. Roles emphasizing model architecture, training pipelines, and production deployment are well-supported by DOL occupational data, making RFEs on specialty occupation grounds less common than in some other technical fields.
What degree do I need for an employer to sponsor my H-1B as an ML engineer?
A bachelor's degree or higher in computer science, electrical engineering, mathematics, or statistics is the standard requirement. Some employers will accept a degree in physics or a related quantitative field if your coursework and experience are clearly relevant. Advanced degrees, particularly a master's or PhD in ML or AI, strengthen the petition and can make premium processing approval more straightforward. Unrelated degrees paired with extensive experience require more legal documentation.
How competitive is H-1B sponsorship for ML engineers compared to other software roles?
ML engineers are among the most actively sponsored technical roles in the H-1B program. Major tech companies, AI labs, and well-funded startups regularly file petitions for this title. The specialty occupation argument is cleaner than for some generalist software roles because the degree-to-job relationship is specific and well-documented. That said, the H-1B lottery itself remains the primary variable, with a selection rate of roughly 25% in recent cycles.
Can I find Senior ML Engineer jobs that explicitly offer visa sponsorship?
Yes. Migrate Mate is built specifically for this, filtering roles by sponsorship willingness so you're not applying to positions that won't consider candidates who need a visa. ML engineering is one of the most represented categories on the platform because demand consistently outpaces the available domestic talent pool, which keeps employer willingness to sponsor unusually high relative to other fields.
Does having a PhD improve my chances of visa sponsorship as an ML engineer?
A PhD strengthens your petition in two practical ways. First, it eliminates any specialty occupation ambiguity, since the degree-to-role alignment is unambiguous. Second, PhD holders are cap-exempt if hired by a qualifying institution and may access the 20,000 advanced-degree exemption slots in the H-1B lottery, improving selection odds. For O-1A purposes, a PhD combined with publications or conference presentations can be decisive evidence of extraordinary ability.
What is the prevailing wage requirement for sponsored Senior ML Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.