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Live In Property Jobs in Goleta, CA (NOW HIRING)

Montecito Bank & Trust

Trust Officer

Montecito, CA · On-site

$118 - $158/hr

... live and work. We are always looking for talented professionals who are passionate about ... in adherence to policies and procedures including but not limited to property inspections ...

New

AppFolio

Sr. Machine Learning Engineer

Santa Barbara, CA

$112K - $154K/yr

We're transforming Property Management; how property managers operate, how residents live, and how ... You think in pipelines and systems, not just models. * You move fast, deliver impact, and maintain ...

AppFolio, Inc.

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site

$116K - $159K/yr

We're transforming Property Management; how property managers operate, how residents live, and how ... You think in pipelines and systems, not just models. * You move fast, deliver impact, and maintain ...

AppFolio

Sr. Machine Learning Engineer

Santa Barbara, CA

$112K - $154K/yr

We're transforming Property Management; how property managers operate, how residents live, and how ... You think in pipelines and systems, not just models. * You move fast, deliver impact, and maintain ...

Terminix

Pest Control Technician (Seasonal)

Ventura, CA · On-site

$18 - $21/hr

... live and work. Is that you? This company is a Drug Free workplace. Rentokil is committed to ... Employees in this position perform work within customer's residences, property, and places of ...

City of Santa Barbara

Risk Manager

Santa Barbara, CA

$159K - $193K/yr

Santa Barbara is a truly a magnificent and unique place to live and work. CITY GOVERNMENT Santa ... in the administration and adjudication of Workers' Compensation, General Liability, Property and ...

City of Santa Barbara, CA

Risk Manager

Santa Barbara, CA · On-site

$159K - $193K/yr

Santa Barbara is a truly a magnificent and unique place to live and work. CITY GOVERNMENT Santa ... in the administration and adjudication of Workers' Compensation, General Liability, Property and ...

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All JobsLive In Property JobsLive In Property Jobs in Goleta, CA

Live In Property information

See Goleta, CA salary details

$13

$23

$36

How much do live in property jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for live in property in Goleta, CA is $23.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.94 and $27.74 per hour, depending on experience, location, and employer.

What is a live-in property manager?

Live-in property managers are individuals who reside on the property they manage, such as apartment complexes, residential buildings, or rental communities. Their duties often include overseeing property maintenance, handling tenant relations, collecting rent, and responding to emergencies. By living on-site, they provide immediate assistance and ensure the property is well-maintained and secure. This arrangement can be beneficial for both property owners and tenants, as it allows for quicker responses to issues and a more personal management approach.

What skills and qualifications are needed to thrive as a live-in property manager?

To excel as a Live-In Property Manager, you need strong organizational abilities, basic property maintenance knowledge, and often a high school diploma or equivalent. Familiarity with property management software, building security systems, and maintenance tools is typically required. Exceptional communication, problem-solving, and customer service skills help build positive relationships with tenants and effectively handle emergencies. These competencies ensure the property is well-maintained, tenants are satisfied, and issues are resolved promptly for smooth property operations.

What are common challenges faced by live-in property managers, and how can they be best prepared to handle them?

Live-in property managers often face unique challenges such as balancing personal privacy with being accessible to tenants, handling after-hours emergencies, and managing a variety of maintenance tasks. Being prepared involves setting clear boundaries and communication expectations with residents, staying organized with maintenance schedules, and developing a reliable network of contractors for urgent repairs. Flexibility and strong problem-solving skills are essential, as issues can arise at any time, and a proactive approach helps maintain both the property and tenant satisfaction.

What is the difference between Live In Property vs Live In Caregiver?

AspectLive In PropertyLive In Caregiver
CredentialsProperty management, maintenance skillsCaregiving certifications, health & safety training
Work EnvironmentResidential or commercial properties, maintenance tasksPrivate homes, providing personal care
Employer & IndustryProperty owners, real estate, property managementFamilies, healthcare, senior care
Search & Comparison IntentProperty upkeep, management rolesPersonal care, assistance roles

Live In Property roles focus on managing and maintaining properties, requiring skills in property management and maintenance. In contrast, Live In Caregiver positions involve providing personal care and support within private homes, often requiring caregiving certifications. While both are live-in roles, they serve different industries and skill sets, making it important to distinguish between property management and caregiving responsibilities.

What are the most commonly searched types of Property jobs in Goleta, CA?

The most popular types of Property jobs in Goleta, CA are:

What cities near Goleta, CA are hiring for Live In Property jobs?

Cities near Goleta, CA with the most Live In Property job openings:

Live In Property jobs near you

Staff Machine Learning Engineer

AppFolio

Santa Barbara, CA

Full-time

Re-posted 3 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

185th 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
Find out more about our locations by visiting our s

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