The Role
Build and scale applied AI systems for property management use cases. Responsibilities include fine-tuning large language models, developing data preparation and synthetic data pipelines, creating agentic AI systems, building evaluation frameworks, optimizing inference and serving, and deploying models into production. The role partners with engineering, product, and data teams to integrate AI capabilities and establish best practices for experimentation, evaluation, and deployment.
Summary Generated by Built In
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.
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?
Skills Required
- 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
- 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 related field, or equivalent practical experience
Entrata Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Entrata and has not been reviewed or approved by Entrata.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, with medical/dental/vision options, HSA/FSA access, and disability coverage described as solid. Health insurance is also framed as a relative highlight compared with other parts of the total rewards package.
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Retirement Support — Retirement offerings include access to a 401(k) with an employer match, indicating some structured long-term savings support. The match is described with enough specificity to suggest it is dependable, even if not positioned as best-in-class.
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Leave & Time Off Breadth — Time-off offerings are portrayed as generous, including PTO/vacation language, periodic company recharge days, and a winter shutdown period. Flexible work options (remote/hybrid where roles allow) are repeatedly presented as part of the broader rewards experience.
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The Company
What We Do
Founded in 2003, Entrata® is the only comprehensive property management software provider with a single-login, open-access platform. Offering a wide variety of online tools including websites, mobile apps, payments, lease signing, accounting, and resident management, the Entrata platform currently serves more than 20,000 apartment communities nationwide. Entrata’s open API and superior selection of third-party integrations offer management companies the freedom to choose the technology and software that best fit their needs.
