AI/ML Engineer: System RF Data Ecosystem

At Apple, new ideas quickly transform into products, services, and customer

experiences that delight millions. This innovation is fueled by cutting-edge

hardware developed within the Hardware Engineering Group. As a vital part of

this organization, the System RF group designs and characterizes wireless

systems across Apple’s flagship products—including iPhone, Watch, iPad, Mac, and

Audio—ensuring world-class performance from prototype to production. Within this

organization, the Smart Data Ecosystem team empowers product evolution by

building AI/ML-powered analytics that unlock critical insights from complex

wireless manufacturing and design data. The team is currently seeking a Senior

AI Development Engineer to architect, develop and deploy scalable AI solutions

internally. Join a team operating at the intersection of hardware, data, and

AI—architecting intelligent software tools that solve complex system

optimization problems where you can directly influence the performance of Apple

products used worldwide!

DESCRIPTION

This role is dedicated to transforming engineering productivity and enabling

cutting-edge hardware design through the strategic application of machine

learning and generative AI. As a Senior AI Engineer, you will bridge the gap

between complex hardware engineering workflows and state-of-the-art artificial

intelligence. You will architect intelligent agents capable of automating

repetitive engineering tasks, analyzing high-dimensional data to surface hidden

trends, and tapping into decades of historical design intelligence. By building

these systems, you will empower engineers to arrive at critical decisions with

unprecedented speed and accuracy, directly influencing the next generation of

Apple innovation.

MINIMUM QUALIFICATIONS

7+ years of experience in AI/ML-related projects, with a proven track record of

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, including

sophisticated orchestration, coordination, and persistent state management.

Strong command of Agent Communication Protocols (e.g., MCP, A2A) and frameworks

for designing distributed agentic workflows. Expert-level software development

skills with a solid foundation in architectural design principles and the

creation of scalable, modular systems. Proven ability to lead cross-functional

architecture discussions and translate ambitious product goals into robust

technical system designs.

PREFERRED QUALIFICATIONS

10+ years of professional experience in AI/ML-related projects, demonstrating a

long-term track record of innovation and technical leadership. Proven ability to

build efficient interfaces for agents to invoke APIs, query high-dimensional

databases, and interact with custom toolsets. Proficiency in Python (Core and

Async) and a strong command of FastAPI or Flask for serving high-performance AI

endpoints. Proven success in deploying Generative AI solutions tailored to

complex, high-dimensional, and domain-specific engineering data. Prior

experience overseeing the full lifecycle of large-scale software applications

deployed within an enterprise-grade production environment. Deep understanding

of model selection, intelligent routing, and fallback strategies to ensure

reliability across multiple LLM providers. Experience developing and

implementing rigorous Gen AI evaluation systems to measure the performance,

safety, and accuracy of deployed agents