Backend Engineer Jobs at Apple with Visa Sponsorship
Backend Engineer jobs at Apple span distributed systems, on-device intelligence infrastructure, and platform services that power hardware and software ecosystems. Apple has a consistent track record of sponsoring work visas for engineers in this function, covering both nonimmigrant and immigrant pathways for qualified candidates.
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Get Access To All JobsINTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
The AI and Machine Learning team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
DESCRIPTION
We are looking for a skilled Python Backend Engineer to join our development team.
In this role, you will be responsible for building and maintaining the server-side logic.
You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application.
Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus.
You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
You have worked closely with project managers, UI/UX designers, and other cross-functional stakeholders to deliver high quality work on-time.
You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.
Responsibilities
- Design and develop scalable, high-performance backend systems and APIs using Python frameworks such as FastAPI, Django, or Flask.
- Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
- Collaborate with front-end developers, product managers, and cross-functional stakeholders to translate business requirements into robust technical solutions.
- Architect and maintain data pipelines, microservices, and cloud-native applications supporting ML training lifecycle and data engineering workflows.
- Implement and enforce software development best practices including code reviews, automated testing, continuous integration, and agile methodologies.
- Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks (e.g. LangChain, LlamaIndex, OpenAI) to extend platform capabilities.
- Monitor, debug, and optimize backend systems for reliability, scalability, and performance in production environments.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field.
10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.
Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle.
Experience with large-scale data processing, distributed systems, microservices, various caching strategies, and performance optimization.
Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
Experience with cloud platforms like AWS or GCP.
Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools.
Master or Ph.D. in a related field.
Previous experience in a high-growth tech company or similar environment.
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.
INTRODUCTION
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!
The AI and Machine Learning team is looking for Sr Backend Engineer to build world-class data solutions that are used by data scientists, ML engineers and researchers to power Apple Foundation Model lifecycle.
DESCRIPTION
We are looking for a skilled Python Backend Engineer to join our development team.
In this role, you will be responsible for building and maintaining the server-side logic.
You will be tasked with developing back-end components, connecting the application with third-party web services, and supporting the front-end developers by integrating their work with the Python application.
Our ideal candidate must have demonstrated expertise in Python. Knowledge of Data Engineering & ML domain & training lifecycle is an added plus.
You are comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
You are proficient and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
You have worked closely with project managers, UI/UX designers, and other cross-functional stakeholders to deliver high quality work on-time.
You are well-versed in GenAI tools and agentic development, with hands-on experience building or integrating LLM-powered workflows, AI agents, and modern AI-assisted development practices.
Responsibilities
- Design and develop scalable, high-performance backend systems and APIs using Python frameworks such as FastAPI, Django, or Flask.
- Build and integrate LLM-powered workflows, AI agents, and agentic pipelines into production backend services.
- Collaborate with front-end developers, product managers, and cross-functional stakeholders to translate business requirements into robust technical solutions.
- Architect and maintain data pipelines, microservices, and cloud-native applications supporting ML training lifecycle and data engineering workflows.
- Implement and enforce software development best practices including code reviews, automated testing, continuous integration, and agile methodologies.
- Evaluate and integrate third-party web services, LLM APIs, and GenAI frameworks (e.g. LangChain, LlamaIndex, OpenAI) to extend platform capabilities.
- Monitor, debug, and optimize backend systems for reliability, scalability, and performance in production environments.
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science or related field.
10+ years of extensive backend development experience, with solid foundational programming skills (algorithms, data structures, OOP, etc) and experience designing, writing, reviewing, testing and delivering software for applications and systems at scale.
Expertise in architecting and developing backend systems using Python; extensive experience in FastAPI, Django, or Flask will be great.
Proficient in REST API, Redis, VectorDB or other large scale data storage systems.
In-depth knowledge of workflow orchestration systems like Airflow, distributed systems, cloud-native applications, and containerization technologies like Docker and Kubernetes.
PREFERRED QUALIFICATIONS
Experience in Data Engineering & ML domain & training lifecycle.
Experience with large-scale data processing, distributed systems, microservices, various caching strategies, and performance optimization.
Excellent problem solving skills and be able to navigate through complex technical challenges and design decisions.
Experience with cloud platforms like AWS or GCP.
Experience building and productionizing GenAI applications, including LLM integration, prompt engineering, RAG pipelines, and agentic workflows using frameworks such as LangChain or similar tools.
Master or Ph.D. in a related field.
Previous experience in a high-growth tech company or similar environment.
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 Backend Engineer Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Backend Engineer Jobs at Apple.
Get Access To All JobsTips for Finding Backend Engineer Jobs at Apple
Align your stack with Apple's infrastructure
Apple's backend roles consistently emphasize Swift, C++, and large-scale distributed systems. Framing your resume around high-throughput service design and on-device data pipelines positions you as a direct match for their engineering priorities, not a generalist.
Target teams with hardware-adjacent backend work
Apple's hardware product lines, from iPhone to Apple Silicon, require backend engineers who understand firmware integration and device telemetry. Applying to teams like iCloud, Maps, or Health gives you stronger sponsorship footing than purely software-facing orgs.
Get your credential evaluation done early
If your degree is from outside the U.S., have it evaluated by a NACES-approved agency before applying. Apple's legal team will need this for specialty occupation documentation, and delays in evaluation can stall your H-1B filing timeline.
Understand the H-1B1 and E-3 options for your nationality
If you're from Singapore or Australia, you're eligible for the H-1B1 visa or E-3 respectively. These cap-exempt categories skip the lottery entirely, and Apple actively uses both. Confirm your nationality-specific eligibility before your offer negotiation so your recruiter routes the petition correctly.
Ask about premium processing before signing your offer
USCIS premium processing reduces H-1B adjudication to 15 business days. For Backend Engineer roles with a start date tied to a product cycle, clarify with your Apple recruiter upfront whether the company will elect premium processing for your petition.
Find Apple Backend Engineer openings on Migrate Mate
Filtering sponsorship-confirmed roles saves significant time when you're working against an OPT or grace period deadline. Use Migrate Mate to browse Backend Engineer openings at Apple where visa sponsorship has been documented.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Backend Engineers?
Yes, Apple sponsors H-1B visas for Backend Engineers. The company participates in the annual H-1B cap lottery and also files petitions outside the lottery for cap-exempt situations, such as candidates transferring from cap-exempt employers. Apple's legal team handles petitions across all major nonimmigrant work visa categories for engineering roles.
How do I apply for Backend Engineer jobs at Apple?
Applications go through Apple's careers portal at jobs.apple.com. Backend Engineer roles are listed by team, so filtering by function rather than title yields more results. You can also browse sponsorship-confirmed openings on Migrate Mate, which surfaces Apple roles where visa sponsorship has been documented, saving you from applying to positions that may not support your visa category.
Which visa types does Apple commonly use for Backend Engineers?
Apple sponsors H-1B, H-1B1 visa (for Singaporean nationals), E-3 visa (for Australian nationals), and TN visa (for Canadian and Mexican nationals) for Backend Engineer roles. For longer-term pathways, Apple also supports EB-2 and EB-3 Green Card sponsorship. F-1 OPT and CPT are accepted for students completing internships or early-career positions.
What qualifications does Apple expect for Backend Engineer roles?
Apple's Backend Engineer roles typically require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Practical experience with distributed systems, REST API design, and performance-critical infrastructure matters significantly. Familiarity with Apple's own frameworks or experience building backend services at scale strengthens an application considerably. USCIS requires the role to qualify as a specialty occupation, so degree-field alignment with the job description matters for H-1B purposes.
How do I time my application if I'm on F-1 OPT or approaching a visa deadline?
If you're on F-1 OPT, the H-1B cap-gap rule can extend your work authorization through September 30 if your OPT expires while a timely H-1B petition is pending or approved. Apple's recruiting cycle runs year-round, but targeting offers before the April lottery registration window gives your employer enough lead time to file. STEM OPT extension, if eligible, adds up to 24 additional months of work authorization as a buffer.