Applied AI Engineer, Apple Ads

Apple • Cupertino, CA

1d

About The Position

Apple Ads is seeking an Applied AI Engineer within its Data Insights organization to build and advance AI-powered platforms that help teams interact with data and make decisions. The role combines software engineering, machine learning, and agentic AI development to create reliable, scalable systems that make complex analytical capabilities accessible across Apple Ads.

The engineer will help shape AI-powered analytics and decision-support systems by building and evolving an AI agent platform that connects large language models with internal data infrastructure, analytical tools, and business knowledge. The platform will enable users to ask complex questions in natural language. The work spans agent orchestration, context retrieval, evaluation, and production engineering, with an emphasis on reusable capabilities that other teams can build upon. The engineer will collaborate with engineers, data scientists, and business partners to turn emerging AI technologies into practical tools that improve access to insights and decision-making.

Requirements

• Bachelor's degree in Computer Science, Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience.
• Experience designing, building, and deploying production software systems.
• Strong Python programming and software engineering fundamentals.
• Hands-on experience building and deploying LLM-powered applications using agentic workflows, tool calling, RAG, or related techniques.
• Experience with large-scale data platforms or distributed data systems.
• Solid foundation in AI, machine learning, statistics, and software engineering principles.
• Strong problem-solving, communication, and cross-functional collaboration skills.

Nice To Haves

• Experience architecting and scaling production AI agent platforms, including multi-step orchestration, tool execution, memory, and context management.
• Experience developing LLM evaluation frameworks, regression benchmarks, and observability systems to improve agent reliability and reasoning quality.
• Experience with advanced retrieval techniques, embeddings, model fine-tuning, or inference optimization.
• Experience building natural-language-to-SQL systems, analytical agents, or AI-powered decision-support platforms.
• Advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.

Responsibilities

• Build and evolve an AI agent platform connecting large language models with internal data infrastructure, analytical tools, and business knowledge.
• Develop capabilities that answer complex questions through natural language.
• Work across agent orchestration, context retrieval, evaluation, and production engineering.
• Create reliable, scalable capabilities that other teams can build upon.
• Collaborate with engineers, data scientists, and business partners to develop practical AI tools for accessing insights and making decisions.

What This Job Offers

• Job Type: Full-time