Senior ML Engineer Jobs at Apple with Visa Sponsorship
Apple builds some of its most ambitious machine learning infrastructure through Senior ML Engineer roles spanning on-device intelligence, Siri, computer vision, and silicon optimization. Apple has a strong track record of sponsoring work visas across multiple categories for qualified ML engineers, making it a viable path for international candidates.
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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
-
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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
See all 144+ Senior ML Engineer at Apple jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior ML Engineer at Apple roles.
Get Access To All JobsTips for Finding Senior ML Engineer Jobs at Apple Jobs
Align your portfolio to Apple's ML domains
Apple's ML hiring concentrates on on-device inference, CoreML, neural engine optimization, and privacy-preserving techniques. Frame past projects around model efficiency and deployment constraints, not just research accuracy, before you apply.
Target teams beyond Siri and Photos
Apple's Health, Maps, and silicon teams actively hire Senior ML Engineers and are less saturated with applicants. Roles tied to Apple Silicon's Neural Engine often require deeper systems knowledge, which narrows the field in your favor.
Start the H-1B lottery registration early in your job search
If you need H-1B sponsorship, USCIS registration opens in March for an October 1 start date. Targeting Apple roles in Q4 of the prior year gives your recruiter enough runway to register you in that cycle.
Use Migrate Mate to filter Apple's open Senior ML Engineer roles by visa type
Sponsorship eligibility varies by role and team at Apple. Use Migrate Mate to surface Senior ML Engineer postings at Apple filtered by the visa categories you qualify for, so you apply where sponsorship is already confirmed.
Senior ML Engineer at Apple jobs are hiring across the US. Find yours.
Find Senior ML Engineer at Apple JobsFrequently Asked Questions
Does Apple sponsor H-1B visas for Senior ML Engineers?
Yes, Apple sponsors H-1B visas for Senior ML Engineers. Apple participates in the annual USCIS H-1B lottery registration each March and files cap-subject petitions for selected candidates. If you're already in H-1B status with another employer, Apple can also file an H-1B transfer, which lets you start work once the petition is received by USCIS, without waiting for a full approval.
How do I apply for Senior ML Engineer jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Senior ML Engineer roles at Apple typically require you to pass a recruiter screen, a technical phone interview focused on ML fundamentals and system design, and a full loop of four to six interviews covering modeling, coding, and cross-functional collaboration. You can also browse open roles filtered by visa sponsorship eligibility on Migrate Mate before applying directly.
Which visa types does Apple commonly sponsor for Senior ML Engineers?
Apple sponsors several visa categories for Senior ML Engineers depending on your nationality and current status. H-1B and Green Card sponsorship through EB-2 or EB-3 PERM are available for most nationalities. Australian citizens can pursue the E-3 visa, which has no lottery. Canadian and Mexican nationals may qualify for TN status. F-1 OPT and CPT are also supported, covering recent graduates in active OPT periods.
What qualifications does Apple expect for Senior ML Engineer roles?
Apple's Senior ML Engineer postings consistently require a graduate degree in machine learning, computer science, or a related field, alongside hands-on experience deploying models in production environments. Proficiency in Python and a deep learning framework like PyTorch or JAX is expected. Roles tied to Apple Silicon or on-device inference also expect familiarity with model quantization, pruning, and hardware-aware optimization, which goes beyond typical research-focused ML backgrounds.
How do I think about timing if I need Apple to sponsor my visa?
Timing depends on your current status. H-1B cap-subject petitions have a fixed annual cycle, so an offer in late spring may mean waiting until October 1 for your start date. E-3 and TN sponsorship can move faster since neither requires lottery selection. PERM-based Green Card sponsorship runs in parallel with employment and takes significantly longer. Discuss your status with Apple's immigration team during the offer stage, not after signing.
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