AI Application Engineer at Apple

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Models, Software Development, Architectural Thinking, Generative AI Models, Large Language Models, Python, Modular Design, Object-Oriented Design, ML Frameworks, Cloud Services, Containerization Technologies, Java, C++, Feasibility Studies, Rapid Prototypes, Production Systems

Industry

Computers and Electronics Manufacturing

Description

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 products—including 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 engineering—translating ground breaking research into practical, scalable tools. You’ll 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. 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 Minimum requirement of a bachelors degree 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

Responsibilities

Design, build, and deploy intelligent systems powered by machine learning and large language models. Translate groundbreaking research into practical, scalable tools for engineering teams.