Applied AI Engineer – Global Siri
Core
Build scalable data pipelines, models, and evaluation systems to enable Siri's AI agents to understand and respond in dozens of languages and local contexts globally.
Role type
Senior IC applied AI engineer (multilingual NLP/GenAI)
Builds
Multilingual data pipelines, localized AI models, and large-scale evaluation suites for Siri's global markets
Domain
Consumer AI, NLP, GenAI, Multilingual Systems
Deliverable
production ML models
Required skills
Python, ML lifecycle (data, training, evaluation, deployment), LLM/NLP/GenAI, ASR/TTS, agentic AI-assisted coding, data product engineering, production service debugging
Preferred skills
Synthetic data generation, large-scale ML infrastructure (Spark, Kubernetes), LLM-as-judge evaluation, shipping user-facing ML features in multiple markets
Technologies
Python, GenAI, NLP, ASR, TTS, Spark, Kubernetes, LLM-as-judge
Responsibilities
Build scalable processes to curate, filter, and version multilingual data; Use GenAI/NLP to improve Siri's understanding per locale; Build systems for large-scale multilingual model evaluation; Automate internationalization tasks using agentic AI; Prioritize markets and failure types using metrics; Communicate findings to executives to shape launch decisions
