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Principal Machine Learning Engineer
AppFolio Inc
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted Oct 15
About this role
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 built to carry real estate into the future. One in which every experience feels effortless, yet meaningful. Where customers are empowered to take on any opportunity. We show up as one team, connected by our values to be a force for good. Because together, we have the power to create extraordinary outcomes for our customers, our communities, and ourselves. 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 seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real Estate Performance Management (RPM) platform — autonomous AI agents that can deliver property management performance. This is a company-impact role. You will own mission-critical AI capabilities, shape long-term technical strategy, and act as a technical visionary and advisor across teams and leadership. You'll operate at the intersection of traditional machine learning, deep learning, and generative AI, building systems that go beyond AI assistance into execution, automation, and optimization. This role is for someone who doesn't just build systems — but redefines how they should be built. Your Impact - Architect & Lead: Help define the technical vision and architecture for AI systems across Realm-X in partnership with senior leadership. - Scale Intelligent AI Agents: Design and deploy advanced AI Agentic systems that combine reasoning, planning, and execution, including multi-agent orchestration across specialist agents (e.g., maintenance, leasing, accounting, collections). - Improve the Foundation: Establish platform primitives and abstractions to enable context-aware, action-oriented AI that goes beyond simple assistance to true automation. Improve the standards for end-to-end ML systems: data collection, model training, evaluation, deployment, and inference infrastructure. - Production Excellence: Architect and build scalable, multi-modal, and real-time AI applications, ensuring high-quality deployment standards. - ML for Autonomous Property Management: Drive AppFolio's transition toward autonomous property management operations. Use existing LLMs today and instrument the proprietary data collection now that will let us selectively train, fine-tune, and RL-optimize open source LLM and SLM for the RPM domain — optimizing performance, latency, and cost. - Reinforcement Learning for Agent Policies: Build the data and feedback loops needed to enable Reinforcement Learning over agent action policies in the partially observable, high-stakes property management environment. Qualifications - Systems thinker: You think in terms of systems, platforms, and long-term leverage, not just features. - Production builder: You've built and scaled ML/AI systems in production with meaningful business impact. - Ambiguity: You operate effectively in high ambiguity, turning unclear problems into a clear direction. - Influence: You've led or influenced large, cross-team technical initiatives. - Originality: You introduce new ideas, architectures, or paradigms — not just implement existing ones. - Owner-operator: You bring a founder / owner-operator mindset: you take ownership, 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. - Vertical conviction: You bring genuine interest in winning a specific industry vertical (real estate) rather than chasing horizontal AI hype. Must Have - Master's or Ph.D. in Computer Science, Machine Learning, or a related field (required). - 10+ years of experience building software systems, with significant focus on ML/AI (or equivalent impact). - Combined academic and industry track record: Published research and shipped production systems. - Deep ML expertise: Traditional Machine Learning, Deep Learning, and Generative AI / LLMs (prompting, fine-tuning, RAG, agents, tool and skills use). - LLM post-training: Direct, hands-on experience with LLM post-training — SFT, RLHF, DPO, and/or RL — at non-trivial scale. - Full ML lifecycle: Strong understanding of data extraction, model training, evaluation, deployment, and integration into production software. - Core stack: Expert in Python, PyTorch, NumPy, AWS, Docker, SQL, embeddings, and RAG. - Agent tooling: Experience with LangChain, LangGraph, and LLM observability tools (LangSmith). - Production ML at scale: Experience designing and operating production-grade ML systems at scale. - Ontology & knowledge graphs: Applied experience with ontology-driven systems, knowledge graphs, or semantic layers used to model business domains for AI systems. - AI-native engineering: Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, code generation tools). Nice to Have - Reinforcement Learning depth: Deep RL expertise applied to sequential decision-making under partial observability. - Experience designing evaluation and benchmarking systems for AI. - Background in distributed systems and real-time architectures. - Experience building platforms used by multiple engineering teams. - Contributions to industry thought leadership (publications, talks, open source, etc.). Location Find out more about our locations by visiting our site https://www.appfolio.com/company/careers#Locations. All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process. Compensation & Benefits The compensation that we reasonably expect to pay for this role is:$264,000 - $363,000 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 https://www.appfolio.com/company/careers#Benefits. About AppFolio AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com http://appfolio.com. Why AppFolio Grow | We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves. Learn | We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills. Impact | We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities. Connect | We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed. Paddle as One. Learn more at appfolio.com/company/careers http://appfolio.com/company/careers Statement of Equal Opportunity At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That’s why we’re a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, or medical condition, pregnancy, genetic information, veteran or military status, or any other characteristic protected by law, you’re always welcome at AppFolio. We are committed to providing an inclusive and accessible candidate experience. If you need a reasonable accommodation at any point in the application or interview process for a disability, pregnancy-related condition, or religious practice, please contact us at peopleoperations@appfolio.com or (805) 284-0834. You do not need to use any particular wording.