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Realm Jobs (NOW HIRING)

Charleston Dishwasher

Charleston, SC · On-site

$12.25 - $15.75/hr

If yes, New Realm Brewing Co. wants you to join our team as a cook, under our Executive Chef! We are perfection-seeking in all that we do, but we adhere to a "work-hard, play-hard" ethos and are ...

Atlanta Dishwasher

Atlanta, GA · On-site

$11.75 - $15.25/hr

If yes, New Realm Brewing Co. wants you to join our team as a cook, under our Executive Chef! We are perfection-seeking in all that we do, but we adhere to a "work-hard, play-hard" ethos and are ...

Suffolk Dishwasher

Suffolk, VA

$11.50 - $14.75/hr

If yes, New Realm Brewing Co. wants you to join our team as a cook, under our Executive Chef! We are perfection-seeking in all that we do, but we adhere to a "work-hard, play-hard" ethos and are ...

CO · On-site

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 ...

SUFFOLK Line Cook

Suffolk, VA · On-site

$14 - $17.50/hr

If yes, New Realm Brewing Co. wants you to join our team as a cook, under our Executive Chef! We are perfection-seeking in all that we do, but we adhere to a "work-hard, play-hard" ethos and are ...

Network Technician

Parkersburg, WV

$23 - $29.75/hr

Demonstrates the ability to perform the assigned duties within the realm of responsibility. * Possesses an awareness of customer requirements with emphasis on major initiatives. * Must be able to set ...

Charleston Line Cook

Charleston, SC · On-site

$14.75 - $18.50/hr

If yes, New Realm Brewing Co. wants you to join our team as a cook, under our Executive Chef! We are perfection-seeking in all that we do, but we adhere to a "work-hard, play-hard" ethos and are ...

iOS Developer

Los Angeles, CA · On-site

$55.75 - $76.75/hr

Your expertise in Swift, SwiftUI, and Realm Database will be essential. If you have experience in Bluetooth communication, that's a plus. Your primary focus will be developing clinical trial apps ...

Network Technician

Parkersburg, WV · On-site

$23 - $29.75/hr

Demonstrates the ability to perform the assigned duties within the realm of responsibility. * Possesses an awareness of customer requirements with emphasis on major initiatives. * Must be able to set ...

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 ...

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Realm information

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$5

$87

$103

How much do realm jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for realm in the United States is $87.62, according to ZipRecruiter salary data. Most workers in this role earn between $82.45 and $88.22 per hour, depending on experience, location, and employer.

What are some common challenges faced by Realm database developers when integrating with mobile applications?

Realm database developers often encounter challenges related to data synchronization, especially when supporting both online and offline modes in mobile apps. Ensuring data consistency across different devices and handling schema migrations can also be complex. Additionally, developers need to optimize performance to prevent UI lag and manage memory efficiently, particularly with large datasets. Collaborating closely with front-end and backend teams is crucial to address these challenges and deliver a seamless user experience.

What are the key skills and qualifications needed to thrive as a Real Estate Agent, and why are they important?

To thrive as a Real Estate Agent, you need a solid understanding of property laws, market trends, and strong sales skills, typically supported by state licensure and a high school diploma or higher. Familiarity with Multiple Listing Services (MLS), customer relationship management (CRM) software, and digital marketing tools is essential. Exceptional interpersonal communication, negotiation abilities, and problem-solving skills set top agents apart. These skills are critical for effectively representing clients, closing transactions, and building a successful real estate career.

What is the difference between Realm vs MongoDB?

AspectRealmMongoDB
Primary UseMobile and embedded database for local data storageGeneral-purpose NoSQL database for server and cloud applications
Work EnvironmentMobile apps, embedded systems, local data storageBackend servers, cloud applications, large-scale data management
Credentials/CertificationsNone specific, developer familiarity with mobile developmentMongoDB certifications available, database administration skills
Industry UsageMobile app development, local data storageWeb development, enterprise applications, cloud services

Realm is primarily used for mobile and embedded applications requiring local data storage, while MongoDB is a versatile NoSQL database suited for server-side and cloud-based applications. Both serve different purposes but are popular in modern app development environments.

What are Realm jobs?

Realm jobs typically refer to positions at Realm, a technology company best known for its mobile database and synchronization solutions. Employees at Realm work on developing and maintaining database software that helps app developers manage and sync data efficiently across devices. Jobs at Realm may include roles in software engineering, product management, technical support, and developer advocacy. These roles often require knowledge of databases, mobile development, and cloud services. Working at Realm offers the opportunity to contribute to widely-used tools in the mobile app industry.
What cities are hiring for Realm jobs? Cities with the most Realm job openings:
What are the most commonly searched types of Realm jobs? The most popular types of Realm jobs are:
What states have the most Realm jobs? States with the most job openings for Realm jobs include:
What job categories do people searching Realm jobs look for? The top searched job categories for Realm jobs are:
Infographic showing various Realm job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 88% Full Time, 8% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $182,244 per year, or $87.6 per hour.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

AppFolio

Goleta, CA

Full-time

Re-posted 14 days ago


AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

155th of 209 rated software companies


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 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. 
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: $264,000 - $330,000 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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