AI ML Engineer Jobs at Apple with Visa Sponsorship
AI ML Engineer jobs at Apple require engineers who can move from research to production at scale, working across hardware-software integration that's unique to the company. Apple has a strong track record of sponsoring international talent across multiple visa categories for this function.
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Get Access To All JobsImagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The G&A Solutions Engineering organization at Apple primarily focuses on creative ways to engineer business solutions to meet growing needs of Apple's Finance, iTunes, Sales, Retail, and Services organizations. At core, our portfolio comprises of engineered custom solutions to process high volume transactions from Apple Pay, iTunes, Ads, App Store, iPhone Activations to Sales from Retail, Online, and Resellers. These solutions are based on cutting edge enterprise technologies ranging from Distributed Systems, Microservices, Java, Spring/Boot, Oracle, MongoDB, AWS services to AI/ML, Generative AI, and Blockchain. Accurately processing such high volume transactions is our core strength.
Description
The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our next-generation payments platform. In this role, you will blend classical ML with cutting-edge Generative and Agentic AI to transform how we process transactional data at scale.
Responsibilities
- You will act as a technical catalyst, modernizing complex product architectures to enable full observability and autonomous workflows for reconciliation, invoicing, and payments.
- We are looking for a self-starter who can navigate the intersection of financial data and Large Language Models to drive productivity and operational efficiency.
Minimum Qualifications
- 2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms.
- In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts.
- Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks.
- Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen).
- Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience.
Preferred Qualifications
- 3+ years deploying production-grade AI/ML solutions in the FinTech domain.
- 2+ years building conversational assistants or autonomous agents using advanced techniques (LangGraph, CrewAI, A2A, CoT, ReAct, Reflection).
- Experience with the full LLM lifecycle including pre-training, SFT, and Reinforcement Learning techniques (RLHF, PPO, GRPO).
- Demonstrated ability to quickly master emerging AI tools and integrate them into legacy stacks.
- Strong written and verbal communication skills with the ability to explain complex AI concepts to business stakeholders.
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The G&A Solutions Engineering organization at Apple primarily focuses on creative ways to engineer business solutions to meet growing needs of Apple's Finance, iTunes, Sales, Retail, and Services organizations. At core, our portfolio comprises of engineered custom solutions to process high volume transactions from Apple Pay, iTunes, Ads, App Store, iPhone Activations to Sales from Retail, Online, and Resellers. These solutions are based on cutting edge enterprise technologies ranging from Distributed Systems, Microservices, Java, Spring/Boot, Oracle, MongoDB, AWS services to AI/ML, Generative AI, and Blockchain. Accurately processing such high volume transactions is our core strength.
Description
The iRecon Payments team is seeking a highly motivated AI/ML Engineer to help build our next-generation payments platform. In this role, you will blend classical ML with cutting-edge Generative and Agentic AI to transform how we process transactional data at scale.
Responsibilities
- You will act as a technical catalyst, modernizing complex product architectures to enable full observability and autonomous workflows for reconciliation, invoicing, and payments.
- We are looking for a self-starter who can navigate the intersection of financial data and Large Language Models to drive productivity and operational efficiency.
Minimum Qualifications
- 2+ years of experience building machine learning solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms.
- In-depth knowledge of transformer architecture, LLMs, and Agentic AI concepts.
- Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks.
- Proven experience building and extending RAG, MCP (Model Context Protocol), or multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen).
- Bachelor's degree in Computer Science, AI, Machine Learning, or relevant work experience.
Preferred Qualifications
- 3+ years deploying production-grade AI/ML solutions in the FinTech domain.
- 2+ years building conversational assistants or autonomous agents using advanced techniques (LangGraph, CrewAI, A2A, CoT, ReAct, Reflection).
- Experience with the full LLM lifecycle including pre-training, SFT, and Reinforcement Learning techniques (RLHF, PPO, GRPO).
- Demonstrated ability to quickly master emerging AI tools and integrate them into legacy stacks.
- Strong written and verbal communication skills with the ability to explain complex AI concepts to business stakeholders.
See all AI ML Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer Jobs at Apple.
Get Access To All JobsTips for Finding AI ML Engineer Jobs at Apple
Align your portfolio to Apple's on-device focus
Apple's AI ML roles emphasize privacy-preserving, on-device inference over cloud-heavy architectures. Showcase projects involving model compression, CoreML, or edge deployment to signal direct relevance before your application reaches a recruiter.
Target teams hiring under multiple visa categories
Apple sponsors H-1B, E-3, TN, and H-1B1 visas for AI ML Engineers. If you hold Australian citizenship, the E-3 sidesteps the H-1B lottery entirely and can be filed at any point in the year.
Prepare your degree equivalency documentation early
Apple's specialty occupation filings require a direct tie between your degree field and the role. If your degree is in mathematics or physics rather than computer science, gather course transcripts now to support USCIS's specialty occupation assessment.
Negotiate your start date around H-1B cap timelines
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start. Confirm with your Apple recruiter early whether your role qualifies for a cap-exempt filing through a university partner, which removes the lottery dependency entirely.
Use Migrate Mate to identify open AI ML roles at Apple
Apple posts AI ML Engineer openings across multiple teams simultaneously and roles fill quickly. Use Migrate Mate to filter Apple's active visa-sponsoring positions so you're applying to roles where sponsorship is already confirmed rather than asking after the fact.
Understand Apple's PERM timing if you want a Green Card
Apple initiates PERM labor certification for EB-2 and EB-3 Green Card sponsorship, but the process typically begins after you've established yourself in a role. During offer negotiation, ask directly whether your position has an established track record of Green Card sponsorship.
Frequently Asked Questions
Does Apple sponsor H-1B visas for AI ML Engineers?
Yes, Apple sponsors H-1B visas for AI ML Engineers and has a consistent track record doing so. Apple also sponsors H-1B1 visas for Chilean and Singaporean nationals and E-3 visas for Australians, which can be advantageous since those categories bypass the H-1B lottery. If your role qualifies through a university partnership, a cap-exempt H-1B visa filing may also be an option worth discussing with Apple's immigration team.
How do I apply for AI ML Engineer jobs at Apple?
Apply directly through Apple's careers site and tailor your resume to emphasize on-device machine learning, model optimization, and hardware-software co-design since those skills align closely with Apple's product priorities. Migrate Mate lists Apple's active AI ML Engineer openings filtered by visa sponsorship, which lets you confirm sponsorship eligibility before investing time in an application. Apple's hiring process typically includes a recruiter screen, technical assessments, and multiple rounds with the hiring team.
Which visa types does Apple commonly use for AI ML Engineer roles?
Apple uses H-1B, E-3, H-1B1 visa, and TN visas for AI ML Engineers depending on your nationality. F-1 OPT and CPT are used for students and recent graduates earlier in the pipeline. For longer-term sponsorship, Apple also files EB-2 and EB-3 Green Card petitions through the PERM labor certification process with the DOL for eligible employees.
What qualifications does Apple expect for AI ML Engineer roles?
Apple's AI ML Engineer roles typically require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, with strong applied experience in machine learning frameworks such as PyTorch or JAX. For USCIS specialty occupation purposes, your degree field needs to directly relate to the role's duties. Apple's research-oriented positions often prefer a master's degree or PhD, particularly for roles involving neural architecture design or on-device model optimization.
How do I understand the visa process timeline when joining Apple?
Timeline depends heavily on which visa category applies to you. E-3 and TN visas can be obtained within weeks through consular processing. A cap-subject H-1B requires registration in March and an October 1 start at the earliest, so Apple would need to extend your OPT or bridge your status in the interim. USCIS premium processing, which Apple commonly uses, accelerates H-1B adjudication to 15 business days but does not change the cap start date.