AppFolio

Staff Machine Learning Engineer - Leasing

AppFolio
US San Francisco, CA, US
Onsite 2026-06-25
Estimated salary · San Francisco
$149k–$255k
Low
$113K
Median
$149K
High
$196K
Market in San Francisco · BLS OEWS 2025

Job description

**Hi, We're AppFolio** ====================== 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 properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio. Realm\-X is AppFolio's AI\-native platform powering this transformation. Within it, Realm\-X Leasing Performer is an autonomous AI agent that handles the end\-to\-end leasing lifecycle — lead management, tour scheduling, follow\-up, application processing, etc. — on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition. **Who We Are Looking For** ========================== We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm\-X Leasing Performer production\-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise — working directly with Leasing Engineering, Voice \& Agents, and Research ML to translate prototypes into systems our customers can depend on every day. This isn't a platform\-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns — and close enough to infrastructure to make sure it's reliable, cost\-efficient, and safe at scale. **Your Impact** =============== * **Own the ML Strategy for Leasing:** Define and drive the machine learning roadmap across Leasing products — identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes. * **Drive the Development \& Architecture for Autonomous AI Agents:** B

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