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Remote Leasing Jobs in Utah (NOW HIRING)

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

... intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

$33.36 - $41.99/hr

Independently performs routine repairs and maintenance functions in remote locations that can be ... All Soldiers, civilian employees who drive Army-owned or leased vehicles must have current & valid ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

... intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

... intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

... intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Showing results 21-31

Remote Leasing information

See Utah salary details

$10

$16

$23

How much do remote leasing jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote leasing in Utah is $16.86, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $17.50 per hour, depending on experience, location, and employer.

What is remote leasing?

Remote leasing is the process of managing and facilitating property lease agreements without in-person interactions. Leasing agents or property managers use digital tools such as online listings, virtual tours, electronic document signing, and remote communication to help prospective tenants view properties, apply, and sign leases. This approach increases convenience and accessibility for both landlords and renters, especially when they are in different locations. Remote leasing has become increasingly popular due to advancements in technology and the need for flexible rental solutions.

How does a remote leasing agent effectively build rapport with prospective tenants without in-person meetings?

Remote Leasing Agents primarily rely on digital communication tools such as video calls, virtual tours, and prompt email or chat responses to establish trust and rapport with potential renters. Building a personal connection remotely involves being responsive, knowledgeable about the property, and proactive in addressing questions or concerns. Additionally, successful agents often personalize their interactions by remembering tenant preferences and following up consistently, which helps create a positive experience despite the lack of face-to-face contact.

What are the key skills and qualifications needed to thrive as a remote leasing agent, and why are they important?

To thrive as a Remote Leasing Agent, you need strong sales abilities, property management knowledge, and familiarity with real estate regulations, often supported by leasing or real estate certifications. Proficiency with property management software, CRM systems, and virtual tour platforms is typically required. Excellent communication, self-motivation, and problem-solving skills help you build rapport with clients and manage tasks independently. These skills ensure efficient leasing processes, high occupancy rates, and positive client experiences in a remote environment.

What is the difference between Remote Leasing vs Remote Property Management?

AspectRemote LeasingRemote Property Management
Primary FocusFinding and securing tenants for rental propertiesOverseeing property operations and tenant relations
Required SkillsMarketing, communication, leasing lawsMaintenance coordination, tenant management, financials
Work EnvironmentReal estate offices, online platformsOnline management systems, remote communication
CertificationsReal estate license often preferredProperty management certification beneficial

Remote Leasing primarily involves marketing and securing tenants, while Remote Property Management focuses on ongoing property oversight and tenant relations. Both roles often require real estate knowledge and utilize online tools, but they serve different stages of the rental process.

How to become a remote leasing agent?

To become a remote leasing agent, you typically need strong communication and customer service skills, knowledge of leasing processes, and proficiency with property management software. Many employers prefer candidates with previous real estate or leasing experience and may require a high school diploma or equivalent. Certifications such as a real estate license can enhance job prospects, and the role often involves working flexible hours remotely.

What are the most commonly searched types of Leasing jobs in Utah?

The most popular types of Leasing jobs in Utah are:

What are popular job titles related to Remote Leasing jobs in Utah?

For Remote Leasing jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Remote Leasing jobs?

Cities in Utah with the most Remote Leasing job openings:

Infographic showing various Remote Leasing job openings in Utah as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $35,063 per year, or $16.9 per hour.

Senior Machine Learning Engineer

Entrata

Lehi, UT • On-site, Remote

$144K - $233K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies


Job description

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management use cases, building reliable model training and evaluation pipelines, and deploying AI systems into production.

Responsibilities
  • Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques.
  • Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model training and evaluation.
  • Develop agentic AI systems that can reason across multi-step workflows, use tools, retrieve context, and operate reliably in production.
  • Build evaluation frameworks and benchmarks to measure model quality, safety, reliability, and task performance.
  • Optimize model inference, serving, and deployment for performance, cost, and scalability.
  • Partner with engineering, product, and data teams to integrate AI capabilities into Entrata products and workflows.
  • Help establish best practices for model experimentation, fine-tuning, evaluation, and deployment.
Minimum Qualifications
  • 5+ years of software engineering or machine learning engineering experience.
  • Hands-on experience fine-tuning, adapting, or deploying large language models.
  • Strong proficiency with Python and PyTorch or similar deep learning frameworks.
  • Experience building ML data pipelines, training workflows, and evaluation systems.
  • Experience deploying machine learning models into production environments.
  • Familiarity with modern LLM tooling, model serving, and inference frameworks.
  • Strong understanding of machine learning fundamentals and model performance tradeoffs.
Preferred Qualifications
  • Experience with supervised fine-tuning, preference optimization, or related post-training techniques.
  • Experience building agentic systems, tool-using models, or retrieval-based AI applications.
  • Experience with distributed training or GPU-based model workloads.
  • Familiarity with frameworks such as vLLM, DeepSpeed, FSDP, or similar technologies.
  • Experience working with enterprise or domain-specific AI applications.
  • Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience.
$144,000 - $233,100 a year
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
 
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.

Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.

HSA/FSA options and employer-paid disability benefits provided for eligible employees.

Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.

Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.

Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.

Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.

Bi-annual swag drops for employees

Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. 

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It's a great place to work! Will you join us?

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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