Machine Learning Platform Engineer, Apple Services Engineering
Core
Build and productionize an evaluation platform for Apple's generative AI and agent systems, translating research prototypes into reliable production services.
Role type
Senior IC machine learning platform engineer (evaluation & orchestration)
Builds
APIs, SDKs, orchestration components, and evaluation runners for AI/agent systems
Domain
Generative AI, Large Language Models (LLMs), Agent Systems, Production ML
Deliverable
production ML models
Required skills
Python (FastAPI, Pydantic), LLM evaluation frameworks (Inspect, Braintrust, LangSmith, Promptfoo), LLM lifecycle management, CI/CD, Docker, observability, AI coding tools
Preferred skills
Job orchestration (Temporal.io, Airflow), distributed compute (Ray, Dask, Kubernetes), experiment tracking (Weights & Biases, MLflow), developer platform/SDK experience
Technologies
Python, FastAPI, Pydantic, Docker, Temporal.io, Airflow, Ray, Dask, Kubernetes, W&B, MLflow, Claude Code
Responsibilities
Build and ship features/services for the evaluation platform (APIs, SDKs, runners); Partner with research engineers to productionize prototype code; Maintain operational ownership including testing, CI setup, and metrics; Improve codebase quality and developer experience; Manage non-deterministic AI system evaluations
Seniority
Senior, hands-on IC
