As a Machine Learning Engineer at Apple, you will be part of the AI & Data Platforms team within the Information Systems and Technology organization. This role focuses on building intelligent systems that democratize AI across various solutions within Apple. You will drive the development and deployment of innovative AI models that enhance the performance of Apple's products and services. Your work will involve implementing robust ML infrastructure and developing automated ML pipelines to support seamless integration of AI/ML models into production environments.

• Bachelor's degree in Computer Science or a related field or equivalent experience.
• 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring, and model refresh management.
• Experience developing AI/ML systems at scale in production or high-impact research environments.
• Passionate about computer vision and natural language processing, especially in LLMs and Generative AI systems.
• Knowledge of common frameworks and tools such as PyTorch or TensorFlow.
• Experience in anomaly detection and forecasting methodologies.
• Proficiency in Python and writing efficient SQL queries.
• Strong coding and software engineering skills, with familiarity in software engineering principles around testing, code reviews, and deployment.
• Proven experience with transformer models such as BERT and GPT, along with an understanding of their underlying principles is a plus.
• Proficient in data visualization tools such as Superset, Streamlit, Tableau, Business Objects, and Looker.

• Build intelligent systems to democratize AI across a wide range of solutions within Apple.
• Drive the development and deployment of innovative AI models and systems.
• Implement robust, scalable ML infrastructure, including data storage, processing, and model serving components.
• Develop novel feature engineering, data augmentation, prompt engineering, and fine-tuning frameworks.
• Design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation.
• Implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving performance.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.