Staff Machine Learning Engineer

AppFolio - Denver, CO

Hiring: Staff Machine Learning Engineer Company: AppFolio Location: Denver, CO Job Posted Time: 2026-09-16 14:45:40 Target Skills & Keywords : AWS, Data Pipeline, ECS, Fine-tuning, LLM, Machine Learning, Move, OpenAPI, RAG, SageMaker About the job Required Skills: •We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry. •Who We Are Looking For •This role works at the intersection of ML infrastructure, applied AI, and cost discipline. You'll partner closely with our Voice & Agents and Research ML engineers to harden their prototypes into production systems, and help move forward the platform layer that lets Realm-X scale across AppFolio's entire customer base. •ML Platform: Design and operate AppFolio's ML infrastructure on AWS — ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls. •Drive AI Cost Discipline: Optimize cost across all AI applications — provider routing, caching, batch vs. real-time, model size selection, and inference economics. •Multi-Provider Reliability: Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible fallbacks and abstractions. Qualifications: •Systems thinker: You think in terms of platforms and long-term leverage, not just features. •Production builder: You've built and scaled ML infrastructure in production with meaningful business impact. •Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction. •Owner-operator: You take ownership with a founder/owner-operator mindset, act with urgency, and focus on outcomes. •Pace: You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!