ML Data & Eval Engineer, Siri Agent Modeling
Core
Design, build, and run systems for on-device ML data pipelines, evaluation suites, and deployment workflows for Siri agents.
Role type
Senior IC ML Data & Eval Engineer
Builds
Scalable data pipelines, evaluation environments, and model conversion workflows for on-device deployment
Domain
Consumer AI / On-device Machine Learning
Deliverable
production ML models
Required skills
Python, Docker, Kubernetes, distributed systems, Spark, Ray, PyTorch, JAX, agentic AI coding
Preferred skills
LLM data pipeline construction, workflow orchestration (Airflow, Kubeflow), model quantization/pruning, data lineage tools
Technologies
Spark, Ray, PyTorch, JAX, Core ML, Airflow, Kubeflow, Argo
Responsibilities
Build scalable pipelines for curating, filtering, and versioning data for LLMs and agents; Build systems for large-scale evaluation of agentic models; Build pipelines for model conversion, compression, and on-device benchmarking; Optimize ML lifecycle velocity by removing bottlenecks in data loading and experiment tracking; Build data quality checks and governance tooling for privacy compliance
