Job description

Join the team defining how next-generation intelligent assistants take action in the real world. As a Senior Applied AI Engineer, you’ll help define how our models reason, plan, and execute across Apple’s vast ecosystem of apps and services. You will develop the core platform, runtime, and API abstractions that make models genuinely effective at scale, powering the next wave of agentic capabilities for Siri and Apple Intelligence. We’re seeking an individual with a proven track record working at the intersection of models and software, with experience in both systems engineering and applied machine learning. You bring strong developer empathy and API design sensibility to partner closely with the teams behind Apple’s world-class apps, using frameworks like App Intents and real-world developer requirements to drive the evolution of the platform. At the same time, you understand what it takes to make agents fundamentally more capable: crafting the language the model sees, designing tool representations, and building orchestration systems that allow our models to plan and reason through novel capabilities efficiently. You will tackle the demands of scale, ensuring the model behaves reliably and accurately across an enormous action space while keeping latency and inference cost minimal. Your work will focus on engineering the execution layer to be blazing fast across every Apple device — from our most powerful Macs and iPhones to Apple Watch — all while embedding an uncompromising safety, security, and privacy architecture directly into the platform. This role is an opportunity to push the boundaries of agent effectiveness and own the end-to-end quality story for an assistant used by hundreds of millions of people. You will design realistic evals, diagnose complex failure modes, and bridge the gap between platform infrastructure and foundation modeling to transform state-of-the-art models into dependable, day-to-day capabilities. Bachelor's degree in Computer Science, Machine Learning, or a related field, with 3+ years of industry experience Strong programming skills in languages like Swift, C++, Objective-C, or Python Hands-on experience shipping production systems built around LLMs Knowledge of agentic systems, including planning, orchestration, and multi-step tool use Ability to communicate and deliver in fast-moving, ambiguous environments Experience in prompt engineering, tool representation, or tool retrieval Experience designing evals and improving model quality with data Familiarity with App Intents or other Apple frameworks Strong API design skills and a track record of building platforms for other developers MS or PhD in Computer Science, Machine Learning, or a related field

Requirements

Must-haves

Bachelor's degree in Computer Science, Machine Learning, or a related field, with 3+ years of industry experience
Strong programming skills in languages like Swift, C++, Objective-C, or Python
Hands-on experience shipping production systems built around LLMs
Knowledge of agentic systems, including planning, orchestration, and multi-step tool use
Ability to communicate and deliver in fast-moving, ambiguous environments
Experience in prompt engineering, tool representation, or tool retrieval
Experience designing evals and improving model quality with data
Familiarity with App Intents or other Apple frameworks
Strong API design skills and a track record of building platforms for other developers
MS or PhD in Computer Science, Machine Learning, or a related field

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapimachine learningswiftpython

Platform: apple
Effort: medium