Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS\u0026T) organization. IS\u0026T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS\u0026T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.\\n\\nAI \u0026 Data Platforms (AiDP) is IS\u0026T"s engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS\u0026T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative 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.
BS in Computer Science or related field or equivalent.\\n\\n3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management.\\n\\nExperience developing AI/ML systems at scale in production or in high-impact research environments.\\n\\nPassionate about computer vision, natural language processing, especially in LLMs and Generative AI systems.\\n\\nKnowledge with the common frameworks and tools such as PyTorch or TensorFlow.
Experience in Anomaly detection and forecasting \u0026 related methodologies \\n\\nExperience and proficiency in python \u0026 writing efficient SQLs. \\n\\nStrong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.\\n\\nProven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus\\n\\nData Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker
