Machine Learning Engineer, AiDP

The people here at Apple don't just build products - we craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. A passion for product ownership and track record will prove critical to success on our team. Be ready to make something extraordinary when here. Multifaceted, encouraging people and innovative, industry-defining technologies are the norm at Apple. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day to day basis?

Join the AI & Data Platform (AiDP) team and empower Apple's business groups with cutting-edge ML, data, and analytics solutions. This position is an extraordinary opportunity for a competent, experienced, and results-oriented machine learning engineer to define and build some of the best-in-class machine learning platforms and products that drive business outcomes across Retail, iTunes, Marketing, and more.

Description

Our Machine Learning Engineers work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Apple's products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.

Preferred Qualifications

Experience handling large-scale datasets and data-driven applications.

Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.

Excellent communication and experience working with multi-functional teams

Minimum Qualifications

Strong proficiency in programming languages like Java or Python

Solid understanding of Data Structures and Algorithms.

4+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring, and model refresh management.

2+ years experience working with NLP and GenAI frameworks (LangChain, LlamaIndex, etc.)

Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).

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 .