Join Apple's Hardware Engineering team as an intern to build cutting-edge analytics solutions leveraging Large Language Models (LLMs) and Model Context Protocol (MCP).
Description
You'll work on innovative projects that directly impact Apple's hardware development process, combining advanced AI capabilities with robust backend systems.
Responsibilities
* Design and implement analytics solutions using Large Language Models for hardware engineering insights
* Develop Model Context Protocol (MCP) integrations to enhance AI model capabilities with domain-specific context
* Build intelligent data processing pipelines that leverage LLM capabilities for pattern recognition and anomaly detection
* Create conversation
* al interfaces for hardware engineers to interact with complex datasets
* Architect and build scalable backend systems to support LLM-powered analytics workflows
* Implement robust APIs for model inference, data ingestion, and result delivery
* Design efficient data storage and retrieval systems optimized for large-scale hardware telemetry
Develop real-time processing capabilities for continuous hardware monitoring and analysis
Minimum Qualifications
* Currently pursuing Bachelor's or Master's degree in Computer Science, Engineering, or related field
* Strong programming skills in Python and/or Swift
* Experience with machine learning frameworks (PyTorch, TensorFlow, or similar)
* Understanding of backend development principles and RESTful API design
Preferred Qualifications
* Previous experience with Large Language Models (training, fine-tuning, or deployment)
* Knowledge of Model Context Protocol (MCP) or similar AI integration frameworks
* Experience with cloud platforms and containerization (Docker, Kubernetes)
* Background in data analytics, statistical analysis, or hardware engineering
* Familiarity with distributed systems and high-performance computing
Understanding of AI safety and responsible AI practices
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