Apple Inc.
Full Stack Software Engineer, Generative AI
Apple Inc., Cupertino, California, United States, 95014
Overview
Full Stack Software Engineer, Generative AI — Cupertino, California, United States. Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonders that have revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us lead the future generation of innovation. We are looking for an outstanding Full Stack Software Engineer to play a key role in designing and developing the next generation of AIML-powered professional training applications, employing ground breaking large language models (LLMs), visual intelligence models, voice interfaces, and other emerging technologies. This includes architecting scalable, secure, and high-performance systems that deliver personalized, adaptive learning experiences for global teams. You will collaborate closely with multi-functional partners in engineering, product management, and design to integrate AIML-driven features that enhance content creation, interactive training, and analytics capabilities. Responsibilities
Developing high quality software systems according to the specifications of product and engineering leadership Designing, developing, and maintaining applications across the frontend and backend Implementing generative AI capabilities into content tools Optimizing performance, scalability, and security of full stack applications Working with multi-functional teams to integrate with multiple enterprise systems Triaging issues and using debugging tools and skills to identify solutions Maintaining expertise in full stack development and generative AI Minimum Qualifications
8+ years of professional software engineering experience Strong experience with machine learning integration, particularly LLMs, computer vision, and voice technologies. Ability to design and build AIML-driven training applications, incorporating multi-modal inputs such as text, image, and voice. Proficiency in cloud-based architectures (e.g., AWS, GCP, Azure) for deploying scalable AIML systems. Familiarity with MLOps standard methodologies, including model training, deployment, and monitoring. Deep understanding of data pipelines, data privacy, and security compliance for handling sensitive training data. Solid coding fundamentals and a thirst to improve and challenge yourself Excellent communication and soft skills Ability to work on a highly collaborative cross-functional team Passion for high quality user experiences and an unmatched attention to detail BS in Computer Science or equivalent field Preferred Qualifications
Experience with RAG pipelines and prompt engineering Experience deploying AI features into production at scale Background in personalization/adaptive learning technologies Compensation and Benefits
Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $181,100 and $272,100, 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. 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.
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Full Stack Software Engineer, Generative AI — Cupertino, California, United States. Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonders that have revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us lead the future generation of innovation. We are looking for an outstanding Full Stack Software Engineer to play a key role in designing and developing the next generation of AIML-powered professional training applications, employing ground breaking large language models (LLMs), visual intelligence models, voice interfaces, and other emerging technologies. This includes architecting scalable, secure, and high-performance systems that deliver personalized, adaptive learning experiences for global teams. You will collaborate closely with multi-functional partners in engineering, product management, and design to integrate AIML-driven features that enhance content creation, interactive training, and analytics capabilities. Responsibilities
Developing high quality software systems according to the specifications of product and engineering leadership Designing, developing, and maintaining applications across the frontend and backend Implementing generative AI capabilities into content tools Optimizing performance, scalability, and security of full stack applications Working with multi-functional teams to integrate with multiple enterprise systems Triaging issues and using debugging tools and skills to identify solutions Maintaining expertise in full stack development and generative AI Minimum Qualifications
8+ years of professional software engineering experience Strong experience with machine learning integration, particularly LLMs, computer vision, and voice technologies. Ability to design and build AIML-driven training applications, incorporating multi-modal inputs such as text, image, and voice. Proficiency in cloud-based architectures (e.g., AWS, GCP, Azure) for deploying scalable AIML systems. Familiarity with MLOps standard methodologies, including model training, deployment, and monitoring. Deep understanding of data pipelines, data privacy, and security compliance for handling sensitive training data. Solid coding fundamentals and a thirst to improve and challenge yourself Excellent communication and soft skills Ability to work on a highly collaborative cross-functional team Passion for high quality user experiences and an unmatched attention to detail BS in Computer Science or equivalent field Preferred Qualifications
Experience with RAG pipelines and prompt engineering Experience deploying AI features into production at scale Background in personalization/adaptive learning technologies Compensation and Benefits
Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $181,100 and $272,100, 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. 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.
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