Apple
Machine Learning Platform Engineer, Apple Services Engineering
$175K–$263K
Seattle, Washington · Full-time · Posted May 19, 2026
- Experience
- 4–8 years of software engineering experience building and shipping production services.
About the job
Build and operate a production evaluation platform for Apple’s generative AI and agent systems, including services, APIs, SDKs, orchestration, and evaluation runners.
What you'll do
- Build and own platform features and services, including APIs, SDKs, orchestration components, and evaluation runners.
- Turn ML research prototypes into reliable production services in partnership with research engineers.
- Maintain production quality through testing, CI, metrics, operational support, and improvements to developer experience.
What they ask for
- 4–8 years of software engineering experience building and shipping production services.
- Strong Python skills; fluency with FastAPI, Pydantic, and the modern Python ecosystem.
- Hands-on experience evaluating agents or LLM systems, with knowledge of production LLM workflows and statistical reasoning about non-deterministic outputs.
- Experience with testing, CI/CD, Docker, and basic observability for production services.
Nice to have
- Experience with developer platforms, internal tools, or SDKs; or production LLM/agent systems.
- Familiarity with orchestration frameworks, distributed compute, or ML lifecycle tooling.
Pay
$175,000 and $263,300 USD base salary
Tools
Python, FastAPI, Pydantic, Docker, Claude Code, Inspect, Braintrust, LangSmith
AI focus
Build an evaluation platform for generative AI and agent systems; productionize research prototypes and support evaluation of LLMs and agents, including prompt iteration, dataset curation, judge models, and statistical analysis of non-deterministic outputs. The role also calls for using AI coding tools.
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