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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