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Realm Jobs in California (NOW HIRING)

AppFolio

CA · 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 ...

AppFolio

CA · On-site

$123K - $169K/yr

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 ...

AppFolio

Sr. Machine Learning Engineer

San Diego, CA · On-site

$111K - $152K/yr

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 ...

AppFolio

CA · On-site

$123K - $169K/yr

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 ...

AppFolio

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site

$112K - $154K/yr

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 ...

AppFolio, Inc.

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site +1

$116K - $159K/yr

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 ...

AppFolio

Sr. Machine Learning Engineer

San Diego, CA

$111K - $152K/yr

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 ...

AppFolio

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site

$112K - $154K/yr

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 ...

Techoundsllc

Sr iOS Developer- REMOTE

Aliso Viejo, CA · On-site

$120 - $180/hr

Integrate and manage local storage solutions using Realm Database. * Collaborate with backend teams to implement seamless data synchronization with MongoDB Atlas. Device Integration: * Develop ...

Info Way Solutions

Hiring for IOS Native Developer

Fremont, CA · On-site

$56.75 - $78.25/hr

... Realm db Qualifications : Required : • 10 Years of experience • Experienced/Fluent in Swift and Objective-C programming languages • 2+ years hands-on experience in OOP language • 2+ years of ...

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Showing results 21-40

All JobsRealm JobsRealm Jobs in California

Realm information

See California salary details

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$86

$102

How much do realm jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for realm in California is $86.47, according to ZipRecruiter salary data. Most workers in this role earn between $81.39 and $87.07 per hour, depending on experience, location, and employer.

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 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 the most commonly searched types of Realm jobs in California?

The most popular types of Realm jobs in California are:

What are popular job titles related to Realm jobs in California?

For Realm jobs in California, the most frequently searched job titles are:

What job categories do people searching Realm jobs in California look for?

The top searched job categories for Realm jobs in California are:

What cities in California are hiring for Realm jobs?

Cities in California with the most Realm job openings:

Realm jobs near you
Infographic showing various Realm job openings in California as of August 2026, with employment types broken down into 2% As Needed, 84% Full Time, 13% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $179,857 per year, or $86.5 per hour.

Staff Machine Learning Engineer

AppFolio

Santa Barbara, CA • On-site

Full-time

Re-posted 7 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 247 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 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
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