Machine Learning Manager Jobs at Apple with Visa Sponsorship
Machine Learning Manager jobs at Apple sit at the intersection of research leadership and product scale, overseeing teams that ship ML capabilities across hardware, software, and services. Apple sponsors multiple visa categories for this function, making it a realistic target for international candidates with strong technical leadership backgrounds.
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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+ Machine Learning Manager Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Manager Jobs at Apple.
Get Access To All JobsTips for Finding Machine Learning Manager Jobs at Apple
Align your portfolio with Apple's ML stack
Apple's ML work spans on-device inference, neural engine optimization, and privacy-preserving models. Frame your experience around deployment constraints and hardware-software co-design, not just model accuracy metrics, so your background maps directly to what hiring managers evaluate.
Target roles requiring cross-functional team leadership
Apple structures ML Manager roles around owning both research direction and engineering execution across product groups. Highlight experience managing mixed teams of researchers and engineers shipping to production, which differentiates you from pure research or pure engineering management candidates.
Prepare your credentials for specialty occupation documentation
For H-1B sponsorship, USCIS requires evidence that the role is a specialty occupation. Gather transcripts, any advanced degree certifications, and documentation of progressively specialized ML work early, before the offer stage, so Apple's immigration counsel can move quickly.
Time your application around H-1B cap and OPT windows
If you're on F-1 OPT, Apple can file an H-1B cap-subject petition in April for an October 1 start. Confirm your OPT expiration date before accepting an offer so your employer's counsel has enough runway to bridge any gap with a cap-gap extension.
Use Migrate Mate to filter verified Apple ML sponsorship openings
Apple posts Machine Learning Manager roles across multiple business units and career sites. Use Migrate Mate to filter active Apple roles that align with your target visa type, so you're applying to positions where sponsorship is already confirmed rather than assumed.
Ask explicitly about PERM timing if you want a Green Card path
For EB-2 or EB-3 sponsorship, Apple's immigration team initiates the DOL PERM labor certification process. Ask during offer negotiation whether Apple starts PERM within the first year of employment, since the earlier you file, the earlier your priority date is established.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Machine Learning Managers?
Yes, Apple sponsors H-1B visas for Machine Learning Manager roles. The H-1B is the most common work visa path for this position given the degree requirements and specialized nature of the work. Apple also sponsors the H-1B1 visa for Singaporean and Chilean nationals, and the E-3 visa for Australian citizens, offering alternatives that bypass the H-1B lottery entirely.
How do I apply for Machine Learning Manager jobs at Apple?
Apply directly through Apple's careers site or use Migrate Mate to browse verified Machine Learning Manager openings at Apple filtered by your visa type. Apple's hiring process for this level typically includes a recruiter screen, technical assessments on ML system design and leadership scenarios, and several rounds of cross-functional interviews before an offer is extended.
Which visa types does Apple commonly use for Machine Learning Manager roles?
Apple sponsors H-1B, H-1B1 visa, E-3, and TN visas for nonimmigrant work authorization in this role. For permanent residency, Apple files EB-2 and EB-3 petitions through the DOL PERM labor certification process. F-1 OPT and CPT are also supported, giving candidates already in the U.S. on student status a bridge while H-1B sponsorship is initiated.
What qualifications does Apple expect for a Machine Learning Manager?
Apple typically expects a graduate degree in machine learning, computer science, or a related field, combined with demonstrated experience managing ML teams that have shipped products at scale. Hands-on technical depth is weighted heavily alongside leadership credentials. Experience with on-device ML, privacy-preserving techniques, or Apple's Neural Engine is a distinguishing factor at the manager level.
How do I handle the timing between an Apple offer and my visa filing?
Once Apple extends an offer, their immigration counsel files the Labor Condition Application with the DOL before submitting the H-1B petition to USCIS. The full process from offer to approved status can take three to six months without premium processing. If you're transferring from another employer, Apple can file an H-1B transfer petition and you can start on a receipt notice under portability rules.