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 Apples 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.
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).
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
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