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
- Masters or PHD in Artificial Intelligence, Machine Learning, Computer Science or a related field.
About the job
Architects and deploys AI systems that automate engineering tasks, analyze wireless engineering data, and help hardware engineers make faster, better-informed decisions.
What you'll do
- Integrate LLMs and build mechanisms for agents to use APIs, databases, and internal engineering tools.
- Design and maintain RAG pipelines, fine-tuning processes, and multi-agent architectures.
- Deploy AI solutions as scalable production services for internal engineering workflows.
What they ask for
- 7+ years of experience in AI/ML-related projects, including architecting and deploying production-scale Generative AI solutions.
- Masters or PHD in Artificial Intelligence, Machine Learning, Computer Science or a related field.
- Expert-level knowledge of multi-agent system design and strong command of Agent Communication Protocols (e.g., MCP, A2A).
- Expert-level software development skills and ability to lead cross-functional architecture discussions.
Nice to have
- 10+ years of professional experience in AI/ML-related projects.
- Proficiency in Python (Core and Async) and FastAPI or Flask; experience with Gen AI evaluation systems is also preferred.
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, multi-agent systems, and analysis of engineering data.
Model-written summary · the original posting is authoritative