AI Application Engineer

San Francisco Bay Area, California, United States Hardware Are you excited about using AI/ML models to drive innovation across disciplines? Are you passionate about developing intelligent agents that transform how engineering decisions are made? If so, please come and join us We are a multi-functional team focused on building platforms and tools that enhance the engineering design processes behind millions of Apple productsincluding iPhone, iPad, Apple Watch, AirPods, Vision Pro, and more. This is a unique opportunity to apply your AI/ML expertise and software development skills to have a real impact at scale. Description We are seeking a top-tier AI Application Engineer with strong architectural thinking, deep AI/ML knowledge, and robust software development skills to help design, build, and deploy intelligent systems powered by machine learning and large language models (LLMs). In this role, you'll work at the intersection of applied AI and software engineeringtranslating groundbreaking research into practical, scalable tools. Youll take ideas from feasibility studies and rapid prototypes to production-ready solutions with intuitive, high-quality user experiences. Your contributions will shape how engineering teams make faster, smarter decisions across many Apple hardware programs. Responsibilities Serve as a founding engineer to shape the projects technical foundation. Partner with hardware teams to define AI product features and scope. Benchmark, adapt, and integrate AI/ML models into existing software systems. Architect and implement the end-to-end software solution. Deploy and support AI tools for hardware engineering teams. Minimum Qualifications Strong understanding of generative AI models, particularly large language models (LLMs) Proficiency in Python Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes BS and a minimum of 10 years relevant industry experience Preferred Qualifications Hands-on experience developing AI-powered applications Experience designing and deploying agentic AI systems Extensive knowledge with popular LLMs such as Gemini, Claude, and GPT Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) Demonstrated ability to bring innovative AI research into production systems Hands-on experience with cloud services and containerization technologies Additional experience in Java or C++ is a plus Master's or PhD in Computer Science, Computer Engineering, or a related field 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 $181,100 and $318,400, 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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 expensesincluding 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. #J-18808-Ljbffr