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Appfolio Jobs (NOW HIRING)

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 ...

$152K - $190K/yr

AppFolio is more than a company. We're a community of dreamers, big thinkers, problem solvers, active listeners, and multipliers. At every opportunity, we set the pace while delivering innovation ...

IL · On-site

At AppFolio, we're building an AI-Native Performance Platform. This is our unified system that transforms data into real performance for our customers. Central to that mission is our Data Streaming ...

At AppFolio, we're building an AI-Native Performance Platform. This is our unified system that transforms data into real performance for our customers. Central to that mission is our Data Streaming ...

At AppFolio, we're building an AI-Native Performance Platform. This is our unified system that transforms data into real performance for our customers. Central to that mission is our Data Streaming ...

Description AppFolio is more than a company. We're a community of dreamers, big thinkers, problem solvers, active listeners, and multipliers. At every opportunity, we set the pace while delivering ...

At AppFolio, we're building an AI-Native Performance Platform. This is our unified system that transforms data into real performance for our customers. Central to that mission is our Data Streaming ...

At AppFolio, we're building an AI-Native Performance Platform. This is our unified system that transforms data into real performance for our customers. Central to that mission is our Data Streaming ...

At AppFolio, we're building an AI-Native Performance Platform. This is our unified system that transforms data into real performance for our customers. Central to that mission is our Data Streaming ...

At AppFolio, we're building an AI-Native Performance Platform. This is our unified system that transforms data into real performance for our customers. Central to that mission is our Data Streaming ...

At AppFolio, we're building an AI-Native Performance Platform. This is our unified system that transforms data into real performance for our customers. Central to that mission is our Data Streaming ...

Executive Assistant

Santa Barbara, CA · On-site

$94K - $118K/yr

AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport. We are looking for a highly organized, proactive, and detail-oriented Executive ...

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Appfolio information

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$41K

$72.1K

$97K

How much do appfolio jobs pay per year?

As of Jun 11, 2026, the average yearly pay for appfolio in the United States is $72,137.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $80,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Appfolio position, and why are they important?

To thrive in an AppFolio Specialist role, you need a solid understanding of property management processes, strong computer literacy, and preferably experience with the AppFolio property management platform. Familiarity with property management software, data entry systems, and basic accounting tools, along with AppFolio certifications or training, is highly valued. Detail orientation, problem-solving skills, and effective communication are essential soft skills for interacting with property staff and residents. These abilities are vital for ensuring accurate data management, efficient property operations, and positive client experiences within property management organizations.

What are typical daily responsibilities for someone working with AppFolio in a property management company?

In a property management company, an AppFolio Specialist handles tasks such as setting up and maintaining property and tenant records, processing rent payments, generating financial reports, and troubleshooting system issues. Daily work often involves close collaboration with property managers, leasing agents, and accounting teams to ensure a seamless workflow. You may also assist with onboarding new users to the AppFolio platform and provide ongoing support or training as needed. This role is ideal for those who enjoy technology-driven environments and being a key part of efficient property management operations.

What is an Appfolio job?

An Appfolio job typically refers to a role at Appfolio, a company that develops cloud-based software for property management and investment management. Jobs at Appfolio can range from software engineering and customer support to sales and marketing. Employees work on developing, supporting, and selling software solutions that help property managers streamline operations. Roles often require technical, customer service, or sales expertise, depending on the position.

More about Appfolio jobs
What cities are hiring for Appfolio jobs? Cities with the most Appfolio job openings:
What are the most commonly searched types of Appfolio jobs? The most popular types of Appfolio jobs are:
What states have the most Appfolio jobs? States with the most job openings for Appfolio jobs include:

Staff Machine Learning Engineer

AppFolio

San Francisco, CA

Full-time

Posted 10 days ago


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 property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on — training, fine-tuning, inference, RAG, evaluation, and cost. You'll keep our AI cloud always-on, observable, and economical, while staying close enough to applications to influence model and agent design.
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.
Your Impact
  • 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.
  • Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models, including data pipelines, GPU orchestration, and evaluation.
  • Productionize Research: Partner with Voice & Agents and Research ML engineers to harden their prototypes into production systems with SLOs, on-call rotations, and observability.
  • AI Safety & Guardrails: Operate AppFolio's AI safety and authorization layer — guardrails on AWS, scoped tool permissions, and human-in-the-loop gates for autonomous agent actions.
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.
  • Collaboration: You are humble, collaborative, and low-ego, and you elevate those around you.
  • Sustainability: You value work-life balance as a foundation for sustained high performance.
  • Reliability mindset: You treat ML infra like any other production system — SLOs, on-call, observability, postmortems.
Must Have
  • ML infra at scale: Has built and operated production ML infrastructure on AWS — ECS, SageMaker, GPUs, autoscaling, and cost controls.
  • Inference platforms: Production experience with model serving for both LLMs and custom models; understands quantization, batching, and routing.
  • Provider breadth: Direct experience integrating with Google (Vertex / Gemini), OpenAI, and Anthropic APIs in production.
  • Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • Cloud-native engineering: Strong Python, Docker, dependency management, and CI/CD for AI workloads.
  • RAG & agents: Working knowledge of LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
  • Cost optimization: Demonstrated experience reducing unit cost of AI workloads without regressing quality or latency.
  • AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems.
Nice to Have
  • Experience training Small Language Models for production use.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Prior Staff-level role at a company with a significant AI infra footprint.
  • Experience with ontology-driven systems or knowledge graphs supporting AI applications.
  • Contributions to open-source ML infrastructure or LLM tooling.
Location
Find out more about our locations by visiting our site. 
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: $200,000 - 250,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.
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