142 jobs for "Machine Learning Engineer - Agentic AI"

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your work, and there's no telling what you could accomplish.

At Apple, the tools we build determine how we capture, understand, and act on feedback - at massive scale. They power continuous improvement across customers, partners, and employees.

We're looking for a product-minded full-stack engineer to help build our next-generation Experience Management Platform. You'll own products end-to-end: from designing intelligent backend services and crafting polished user experiences to driving resolution of critical production issues. You bring strong opinions on what makes great software, a bias toward smart automation (including AI agents and ML-driven solutions), and the ability to ship fast without cutting corners.

Description
You'll design and build core platform capabilities - from high-throughput data pipelines for business automation to AI-powered insights and agentic automation to the interfaces that put them in users' hands. You own your products through the full lifecycle: shipping new features, triaging and resolving critical production issues, and ensuring operational health. You'll provide technical leadership on architecture, engineering standards, and technology choices, and partner closely with product and design to ensure what we build actually moves the needle.

Preferred Qualifications
Ability to translate ambiguous business problems into clean, scalable technical designs.
Strong communicator who collaborates naturally across engineering, product, and stakeholders.
Passion for quality, attention to detail and internationalization.
BS in Computer Science, related technical field, or equivalent practical experience.

Minimum Qualifications
6+ years building and scaling production-grade full-stack applications and backend services using Javascript/Typescript, Node.js, ReactJS, ExpressJS, and Java.
Experience with Kafka and Flink for event-driven architectures, real-time stream processing, and distributed systems.
Experience with micro-services, system design, scalability, fault tolerance, concurrency, and performance optimization.
Experience building AI-powered products, including LLM integration, agentic workflows, NLP pipelines, and intelligent automation.
Proven ability to deliver end-to-end product features with a product-owner mindset and focus on user/business outcomes.
Hands-on with cloud-native stack: Docker, Kubernetes, AWS.
Hands-on CI/CD and DevOps practices.
Proficient with SQL and NoSQL databases at scale.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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