Data & AnalyticsHybrid

Senior Machine Learning Engineer

Entrata · Hybrid

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Last seen by MeritLog September 12, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from Entrata's Lever job board and last checked it on September 12, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: $144,000 - $233,100
Location: Lehi, Utah
Occupation: Computer Systems Engineers/Architects(O*NET 15-1299.08)
Company website: www.entrata.com

Hiring context

How this role compares at Entrata

Entrata has 17 live roles in MeritLog’s catalog across 6 job families, and 6 of them are in data & analytics. 16 of those listings publish a pay range, a disclosure rate of 94%.

This role's posted range of $144,000 - $233,100 sits above 82% of the 11 other Entrata roles quoted over the same currency and period.

Entrata concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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.

What they're asking for

5+ years of software engineering or machine learning engineering experience.Experience
Hands-on experience fine-tuning, adapting, or deploying large language models.Skill
Strong proficiency with Python and PyTorch or similar deep learning frameworks.Skill
Experience building ML data pipelines, training workflows, and evaluation systems.Skill
Experience deploying machine learning models into production environments.Skill
Familiarity with modern LLM tooling, model serving, and inference frameworks.Skill
Strong understanding of machine learning fundamentals and model performance tradeoffs.Skill
Experience with supervised fine-tuning, preference optimization, or related post-training techniques.SkillPreferred
Experience building agentic systems, tool-using models, or retrieval-based AI applications.SkillPreferred
Experience with distributed training or GPU-based model workloads.SkillPreferred
Familiarity with frameworks such as vLLM, DeepSpeed, FSDP, or similar technologies.SkillPreferred
Experience working with enterprise or domain-specific AI applications.SkillPreferred
Bachelor’s or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience.EducationPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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. Following the launch of Forge, Entrata’s proprietary AI platform, we are looking for a Senior Machine Learning Engineer to drive the next generation of our applied AI capabilities. You will play a central role in fine-tuning Forge, optimizing domain-specific foundation models, and engineering robust ML pipelines that power intelligent automation for millions of residents and property managers worldwide. 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?

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