Apple
AI/ML Engineer: System RF Data Ecosystem
$185K–$325K
Cupertino, California · Full-time · Posted Oct 23, 2026
- Experience
- 7+ years required; 10+ years preferred.
- Education
- Master’s or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
About the job
Architects and deploys AI systems, agents, and data-retrieval tools that automate engineering workflows and help analyze wireless design and manufacturing data.
What you'll do
- Integrate LLMs through cloud APIs and on-premise deployments, and build safe agent integrations with APIs, databases, and internal tools.
- Design and maintain RAG pipelines, fine-tuning processes, and multi-agent systems.
- Move AI solutions from prototypes into scalable production services for engineering requests.
What they ask for
- 7+ years of AI/ML project experience, including architecting and deploying production-scale Generative AI solutions.
- Master’s or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
- Expertise in multi-agent system design and Agent Communication Protocols such as MCP and A2A.
- Expert software development skills, scalable system architecture, and ability to lead cross-functional architecture discussions.
Nice to have
- 10+ years of AI/ML project experience.
- Python (Core and Async), FastAPI or Flask, and experience with enterprise-scale Generative AI deployments.
Pay
$184,700 and $324,800 (base salary)
Tools
Anthropic Claude, Mistral, Gemini, MCP, A2A, Python, FastAPI, Flask
AI focus
Generative AI and machine learning for engineering productivity: LLM integration, agentic workflows, RAG, fine-tuning, and analysis of engineering data.
Model-written summary · the original posting is authoritative