Staff ML Platform Engineer — Production AI Infra

AppFolio Inc; California; On-site; USD 200,000 - 275,000; Full time

Job summary

AppFolio is seeking a Staff Machine Learning Engineer to advance the Realm-X ML platform that powers our AI initiatives. You will design and operate scalable ML infrastructure on AWS, manage cost controls, and ensure production readiness with SLOs and observability.

Collaborate with Voice & Agents and Research ML teams to push prototypes toward production at scale. You will work across multi-provider LLMs (Google/OpenAI/Anthropic), implement training and fine-tuning for LLMs, and contribute to

Qualifications

• ML infra at scale experience in production environments.

Responsibilities

• Build and operate production ML infrastructure on AWS.
• Hard­en prototypes into production with SLOs, on-call rotations, and observability.
• Collaborate with Voice & Agents and Research ML teams to move platforms forward.

Skills

ML infra at scale

AWS & SageMaker

Python

Docker

CI/CD

RAG & agents

LangChain / LangGraph

AI safety & authorization

Cost optimization

Cloud-native engineering

Education

Bachelor’s/Master’s/PhD in CS or related

Tools

AWS · ECS

SageMaker

GPUs

Google Vertex / Gemini

OpenAI API

Anthropic API

Job description

AppFolio is seeking a Staff Machine Learning Engineer to advance the Realm-X ML platform that powers our AI initiatives. You will design and operate scalable ML infrastructure on AWS, manage cost controls, and ensure production readiness with SLOs and observability.

Collaborate with Voice & Agents and Research ML teams to push prototypes toward production at scale. You will work across multi-provider LLMs (Google/OpenAI/Anthropic), implement training and fine-tuning for LLMs, and contribute to