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Software Engineering; AI​/ML), Retail and Marcom Engineering

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Apple Inc.
Full Time position
Listed on 2026-10-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 150400 - 277600 USD Yearly USD 150400.00 277600.00 YEAR
Job Description & How to Apply Below
Software Engineering (AI/ML), Retail and Marcom Engineering

Sunnyvale, California, United States Software and Services

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.

Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.

Retail and Marcom Engineering, an IS&T team, builds and operates the systems and experiences that connect Apple's products with its customers. The team owns the technology behind both Apple's online and physical stores and drives the interactive marketing experiences and tools that keep creative operations moving. Together, those functions deliver the technology behind every product story Apple tells and every purchase a customer makes.

Description

We're seeking a talented Senior AI/ML Engineer to build and scale the intelligent systems behind Apple's globally led creative marketing team. You will drive the end-to-end development and deployment of cutting-edge AI/ML solutions, directly influencing how millions of Apple customers experience our brand. You'll design, build, and optimize production systems involving GenAI, LLMs, Graph RAG, and multi-modal models, engineering intelligent conversational and agentic workflows that redefine what's possible.

If you're ready to build and ship high-impact AI/ML solutions at a global scale, this is your opportunity.

As a Senior AI/ML Engineer, you'll design, build, and deploy intelligent experiences, driving the end-to-end machine learning lifecycle from conception to production. Partnering with business and engineering stakeholders, you'll translate complex requirements into scalable AI/ML solutions, developing robust pipelines and applications that leverage LLM and GenAI technologies to unlock new insights r hands-on expertise will help establish engineering best practices for LLM, RAG, and conversational AI implementations, ensuring high performance, reliability, and maintainability across our services.

You'll also build and deploy advanced AIOps solutions, implementing models for clustering, classification, anomaly detection, and capacity prediction to optimize our systems.

Responsibilities
  • AI-Powered Solutions:
    Drive the complete machine learning project lifecycle, ensuring best practices and flawless software delivery.
  • Intelligent Assistants:
    Lead the design and development of virtual assistants using Conversational AI platforms, creating impactful and intuitive experiences.
  • Data-Driven Insights:
    Collaborate with business stakeholders to identify AI/ML opportunities and develop advanced analytic solutions leveraging LLM technologies, transforming data into actionable strategies.
Minimum Qualifications
  • 5 years of hands-on experience implementing AI/ML models in enterprise systems.
  • Knowledge of core AI/ML concepts, including supervised and unsupervised learning, deep learning, and anomaly detection.
  • Expertise in NLP, NLU, and Conversational AI, including designing and deploying bots with intent recognition, dialogue management, and natural language generation.
  • Experience taking GenAI solutions (LLMs and RAG) into production, with a solid understanding of LLM architectures.
  • Mastery of Python and key AI/ML libraries and frameworks (Pandas, Num Py, Tensor Flow, PyTorch).
  • Ability to integrate AI and bot…
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