Sr. ML Production Model Automation Engineer, Siri Speech

Join the Siri team at Apple to build production automation for foundation model training. You'll own the model lifecycle, design agent-based pipelines, and develop LLM-native tooling for evaluation and release.

• Own the end-to-end model lifecycle building model pipelines, integrating with other Apple frameworks to enable rapid model iteration, staging promotion, production rollout and deprecation.
• Design and operate agent-based automation pipelines for ML models where agents own decision logic at each gate and humans approve only at defined escalation points.
• Develop multi-agent workflows using LLM-native tooling for on-device evaluation, regression triage, release readiness decisions, and automated root cause analysis.
• Own the launch tooling to build and improve the shell scripts and CLI commands that turn a config-name and a dataset into a running training job — across SFT, LoRA adapter, and RL phases.

• Strong software engineering fundamentals; comfortable in Python and Bash.
• 5+ years experience in Machine Learning Operations.
• Production experience with one or more cloud ML platforms (GCP TPU, AWS GPU clusters, Kubernetes-backed training infra).
• Familiarity with the ML training lifecycle: data preprocessing pipelines, distributed training, checkpoint formats, multi-slice / multi-region considerations.