Senior ML Engineer Jobs at Apple with Visa Sponsorship
Senior ML Engineer jobs at Apple involve building some of the company's most ambitious machine learning infrastructure across 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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Get Access To All JobsDo you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more.
You will be working alongside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focused on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product.
Description
We are looking for a senior technical leader experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Solid ML fundamentals and an ability to place research contributions with respect to state of the art would be an essential part of the role. Experience with training and adapting large language models would be an important need.
This role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences. Ability to interface with large scale modeling & data infrastructure is a huge plus.
Minimum Qualifications
PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience.
Hands on experience training LLMs/adapting pre-trained LLMs for downstream tasks & alignment.
Modeling experience at the intersection of NLP and Vision.
Proficiency in ML toolkit of choice, e.g., PyTorch.
Strong programming skills in Python.
Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm.
Preferred Qualifications
Experience with building & deploying Multimodal-LLMs.
Familiarity with distributed training and large-scale data infrastructure.
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.
Do you believe generative models can transform creative workflows and smart assistants used by billions? Do you believe it can fundamentally shift how people interact with devices and communicate, personalizing and tailoring experiences to their unique needs? SIML’s Content Understanding teams strives to turn cutting edge research into compelling user experiences that realize all these goals and more, working on Apple Intelligence technologies such as Image Playground, Genmoji, Generative Memories, Semantic Search, and many more.
You will be working alongside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focused on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product.
Description
We are looking for a senior technical leader experienced in architecting and deploying production scale multimodal ML. An ideal candidate has the ability to lead diverse cross functional efforts ranging from ML modeling, prototyping, validation and private learning. Solid ML fundamentals and an ability to place research contributions with respect to state of the art would be an essential part of the role. Experience with training and adapting large language models would be an important need.
This role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences. Ability to interface with large scale modeling & data infrastructure is a huge plus.
Minimum Qualifications
PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience.
Hands on experience training LLMs/adapting pre-trained LLMs for downstream tasks & alignment.
Modeling experience at the intersection of NLP and Vision.
Proficiency in ML toolkit of choice, e.g., PyTorch.
Strong programming skills in Python.
Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm.
Preferred Qualifications
Experience with building & deploying Multimodal-LLMs.
Familiarity with distributed training and large-scale data infrastructure.
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.
See all 285+ Senior ML Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior ML Engineer Jobs at Apple.
Get Access To All JobsTips for Finding Senior ML Engineer Jobs at Apple
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.
Confirm your visa category before accepting an offer
Apple sponsors H-1B, E-3, TN, and F-1 OPT among others, but the right category depends on your nationality and status. Clarify which petition Apple's immigration team will file before you negotiate, since each category carries different timelines.
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.
Request premium processing if your OPT window is tight
F-1 OPT gives you a 60-day grace period after employment ends. If Apple's offer timeline is running close to your OPT expiration, ask the recruiting team whether USCIS premium processing is available for your petition category.
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.
Frequently 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 visa 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 visa 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 visa 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.